Index (ARX Developer Documentation)

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z _
Alle Klassen und Schnittstellen|Alle Packages|Konstantenfeldwerte|Serialisierte Form

A

ABORT - Enum-Konstante in Enumeration org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution.PrivacyCondition.State
abs(IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Absolute value
AbstractAlgorithm - Klasse in org.deidentifier.arx.algorithm: Abstract class for an algorithm, which provides some generic methods.
AbstractAlgorithm(SolutionSpace<?>, TransformationChecker, int, int) - Konstruktor für Klasse org.deidentifier.arx.algorithm.AbstractAlgorithm: Initializes the algorithm
AbstractGroup(String) - Konstruktor für Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased.AbstractGroup: Creates a new group
AbstractILMultiDimensional - Klasse in org.deidentifier.arx.metric.v2: This class implements an information loss which can be represented as a decimal number per quasi-identifier.
AbstractILMultiDimensionalReduced - Klasse in org.deidentifier.arx.metric.v2: This class implements an information loss which can be represented as a decimal number per quasi-identifier.
AbstractMetricMultiDimensional - Klasse in org.deidentifier.arx.metric.v2: This class provides an abstract skeleton for the implementation of multi-dimensional metrics.
AbstractMetricMultiDimensionalPotentiallyPrecomputed - Klasse in org.deidentifier.arx.metric.v2: This class provides an abstract skeleton for the implementation of metrics that can either be precomputed or not.
AbstractMetricSingleDimensional - Klasse in org.deidentifier.arx.metric.v2: This class provides an abstract skeleton for the implementation of single-dimensional metrics.
AbstractMetricSingleDimensional(boolean, boolean, boolean) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.AbstractMetricSingleDimensional: Creates a new instance.
AbstractMetricSingleDimensional(boolean, boolean, boolean, double) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.AbstractMetricSingleDimensional: Creates a new instance.
AbstractTransformer - Klasse in org.deidentifier.arx.framework.check.transformer: This class implements an abstract base class for all transformers.
AbstractTransformer(DataMatrix, GeneralizationHierarchy[], DataMatrix, int, IntArrayDictionary, IntArrayDictionary, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: Instantiates a new abstract transformer.
AbstractTransformer.GroupifyCounter - Klasse in org.deidentifier.arx.framework.check.transformer: Implementation of the delegate for Requirements.COUNTER
AbstractTransformer.GroupifyCounterDistribution - Klasse in org.deidentifier.arx.framework.check.transformer: Implementation of the delegate for Requirements.COUNTER | Requirements.DISTRIBUTION
AbstractTransformer.GroupifyCounterSecondaryCounter - Klasse in org.deidentifier.arx.framework.check.transformer: Implementation of the delegate for Requirements.COUNTER | Requirements.SECONDARY_COUNTER
AbstractTransformer.GroupifyCounterSecondaryCounterDistribution - Klasse in org.deidentifier.arx.framework.check.transformer: Implementation of the delegate for Requirements.COUNTER | Requirements.SECONDARY_COUNTER | Requirements.DISTRIBUTION
AbstractTransformer.GroupifyDistribution - Klasse in org.deidentifier.arx.framework.check.transformer: Implementation of the delegate for Requirements.DISTRIBUTION
AbstractTransformer.IGroupify - Schnittstelle in org.deidentifier.arx.framework.check.transformer: Interface for delegates to the groupify .
accepts(QualityConfigurationValueParser<?>, String) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityConfigurationRangeParser: Returns whether the parser matches the value
acceptsParameter(String) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.AggregateFunctionWithParameter: Returns whether the function accepts this parameter.
acceptsParameter(String) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericCommonPrefix
acceptsParameter(String) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericConstant
acceptsParameter(String) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericSetOfPrefixes
access() - Methode in Klasse org.deidentifier.arx.ARXLattice: Access fields of this class.
access() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode: Alter associated fields.
Access(ARXLattice) - Konstruktor für Klasse org.deidentifier.arx.ARXLattice.Access: Constructor
Access(ARXLattice.ARXNode) - Konstruktor für Klasse org.deidentifier.arx.ARXLattice.ARXNode.Access: Accessor class
ACCOUNT_NUMBER - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier
accuracy(double) - Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration
action(Transformation<?>) - Methode in Klasse org.deidentifier.arx.framework.lattice.DependentAction: Implements the action to be performed.
add(int) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.Distribution: Adds a element to the hashtable.
add(int) - Methode in Klasse org.deidentifier.arx.RowSet: Sets a bit
add(int, int) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.Distribution: Adds an element with the given frequency.
add(Double, Double) - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
add(Long, Long) - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
add(String...) - Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy.DefaultHierarchy: Adds a row to the tabular representation of this hierarchy.
add(String...) - Methode in Klasse org.deidentifier.arx.Data.DefaultData: Adds a row to this data object.
add(Date, Date) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
add(HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.framework.check.groupify.MetaHashGroupify: Adds a tuple from the buffer
add(IntervalDouble, IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Addition
add(T) - Methode in Klasse org.deidentifier.arx.common.Groupify: Adds a new element
add(T, T) - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale: Add
addAll(DescriptiveStatistics, Distribution, DataType.DataTypeWithRatioScale<T>, double) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction: Adds all values from the distribution to the given descriptive statistics object
addAllOfFromTo(TransformationList<?>, int, int) - Methode in Klasse org.deidentifier.arx.framework.lattice.TransformationList: Adds from to
addColumn(int) - Methode in Klasse org.deidentifier.arx.DataSource: Adds a new column.
addColumn(int, String) - Methode in Klasse org.deidentifier.arx.DataSource: Adds a new column.
addColumn(int, String, DataType<?>) - Methode in Klasse org.deidentifier.arx.DataSource: Adds a new column.
addColumn(int, String, DataType<?>, boolean) - Methode in Klasse org.deidentifier.arx.DataSource: Adds a new column.
addColumn(int, DataType<?>) - Methode in Klasse org.deidentifier.arx.DataSource: Adds a new column.
addColumn(int, DataType<?>, boolean) - Methode in Klasse org.deidentifier.arx.DataSource: Adds a new column.
addColumn(String) - Methode in Klasse org.deidentifier.arx.DataSource: Adds a new column.
addColumn(String, String) - Methode in Klasse org.deidentifier.arx.DataSource: Adds a new column.
addColumn(String, String, DataType<?>) - Methode in Klasse org.deidentifier.arx.DataSource: Adds a new column.
addColumn(String, String, DataType<?>, boolean) - Methode in Klasse org.deidentifier.arx.DataSource: Adds a new column.
addColumn(String, DataType<?>) - Methode in Klasse org.deidentifier.arx.DataSource: Adds a new column.
addColumn(String, DataType<?>, boolean) - Methode in Klasse org.deidentifier.arx.DataSource: Adds a new column.
addColumn(ImportColumn) - Methode in Klasse org.deidentifier.arx.io.ImportConfiguration: Adds a single column to import from.
addColumn(ImportColumn) - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationCSV: Adds a single column to import from This makes sure that only ImportColumnCSV can be added, otherwise an IllegalArgumentException will be thrown.
addColumn(ImportColumn) - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationExcel: Adds a single column to import from This makes sure that only ImportColumnExcel can be added, otherwise an IllegalArgumentException will be thrown.
addColumn(ImportColumn) - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationJDBC: Adds a single column to import from This makes sure that only ImportColumnJDBC can be added, otherwise an IllegalArgumentException will be thrown.
addFromBuffer(int, int, int, int, int) - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupify: Adds a tuple from the buffer
addFromGroupify(int, Distribution[], int, int, int) - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupify: Adds an entry from another groupify operator
addFromSnapshot(int, int[][], int[][], int, int, int) - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupify: Adds a class from a snapshot
addGroup(int) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased.Level: Adds the given group with the default aggregate function.
addGroup(int, String) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased.Level: Adds the given group.
addGroup(int, AggregateFunction) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased.Level: Adds the given group with the given aggregate function.
addIndividual(Transformation<?>) - Methode in Klasse org.deidentifier.arx.algorithm.GeneticAlgorithmSubpopulation: Adds an individual to the subpopulation.
addInterval(HierarchyBuilderIntervalBased.Interval<T>) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased: Adds an interval.
addInterval(T, T) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased: Adds an interval.
addInterval(T, T, String) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased: Adds an interval.
addInterval(T, T, AggregateFunction<T>) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased: Adds an interval.
addItem(String) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementData: Adds an item
addItem(ElementData) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementList: Adds element data
addItem(ElementList) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementList: Adds an item to this list
addItem(ElementText) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementList: Adds an item to this list
addMetadata(QualityMetadata<?>) - Methode in Klasse org.deidentifier.arx.metric.InformationLoss: Adds new metadata
addMetadata(QualityMetadata<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensional
addMetadata(QualityMetadata<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.ILScore
addMetadata(QualityMetadata<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.ILSingleDimensional
addPercentProperty(String, double) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementData: Adds a number between 0 and 1 as precentage
addPrivacyModel(PrivacyCriterion) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Adds a privacy model to the configuration.
addProperty(String, boolean) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementData: Adds a property
addProperty(String, double) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementData: Adds a property
addProperty(String, int) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementData: Adds a property
addProperty(String, long) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementData: Adds a property
addProperty(String, String) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementData: Adds a property
addProperty(String, ARXLattice.Anonymity) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementData: Adds a property
addProperty(String, ElementData) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementData: Adds a property
AFRICA - Enum-Konstante in Enumeration org.deidentifier.arx.ARXPopulationModel.Region
aggregate(double[]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityAggregateFunction: Implement this
aggregate(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction: This function returns an aggregate value.
aggregate(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericArithmeticMean
aggregate(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericArithmeticMeanOfBounds
aggregate(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericBounds
aggregate(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericCommonPrefix
aggregate(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericConstant
aggregate(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericGeometricMean
aggregate(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericGeometricMeanOfBounds
aggregate(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericInterval
aggregate(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericSet
aggregate(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericSetOfPrefixes
aggregate(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction: This function returns an aggregate value.
aggregate(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionArithmeticMean
aggregate(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionGeometricMean
aggregate(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionInterval
aggregate(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionMedian
aggregate(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionMode
aggregate(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionModeWithDistributionFallback
aggregate(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionSet
AggregateFunction<T> - Klasse in org.deidentifier.arx.aggregates: This abstract class represents an aggregate function.
AggregateFunction(DataType<T>) - Konstruktor für Klasse org.deidentifier.arx.aggregates.AggregateFunction: Constructor.
AggregateFunction.AggregateFunctionBuilder<T> - Klasse in org.deidentifier.arx.aggregates: A builder for aggregate functions.
AggregateFunction.AggregateFunctionWithParameter<T> - Klasse in org.deidentifier.arx.aggregates: An aggregate function that has a parameter.
AggregateFunction.GenericArithmeticMean<T> - Klasse in org.deidentifier.arx.aggregates: An aggregate function that returns the arithmetic mean, if it may be computed, "NULL" otherwise.
AggregateFunction.GenericArithmeticMeanOfBounds<T> - Klasse in org.deidentifier.arx.aggregates: An aggregate function that returns the arithmetic mean of min Ungültige Eingabe: "&" max, if it may be computed, "NULL" otherwise.
AggregateFunction.GenericBounds<T> - Klasse in org.deidentifier.arx.aggregates: An aggregate function that returns an interval consisting of the first and the last element following the predefined order .
AggregateFunction.GenericCommonPrefix<T> - Klasse in org.deidentifier.arx.aggregates: An aggregate function that returns a common prefix.
AggregateFunction.GenericConstant<T> - Klasse in org.deidentifier.arx.aggregates: An aggregate function that returns a constant value.
AggregateFunction.GenericGeometricMean<T> - Klasse in org.deidentifier.arx.aggregates: An aggregate function that returns the geometric mean, if it may be computed, "NULL" otherwise.
AggregateFunction.GenericGeometricMeanOfBounds<T> - Klasse in org.deidentifier.arx.aggregates: An aggregate function that returns the geometric mean of min Ungültige Eingabe: "&" max, if it may be computed, "NULL" otherwise.
AggregateFunction.GenericInterval<T> - Klasse in org.deidentifier.arx.aggregates: An aggregate function that returns an interval [min, max] .
AggregateFunction.GenericSet<T> - Klasse in org.deidentifier.arx.aggregates: An aggregate function that returns a set of all data values.
AggregateFunction.GenericSetOfPrefixes<T> - Klasse in org.deidentifier.arx.aggregates: An aggregate function that returns a set of the prefixes of the data values.
AggregateFunctionWithParameter(DataType<T>) - Konstruktor für Klasse org.deidentifier.arx.aggregates.AggregateFunction.AggregateFunctionWithParameter: Creates a new instance.
ALL - Enum-Konstante in Enumeration org.deidentifier.arx.framework.check.history.History.StorageStrategy
ALPHABETICAL - Enum-Konstante in Enumeration org.deidentifier.arx.certificate.CertificateStyle.ListStyle
and() - Methode in Klasse org.deidentifier.arx.DataSelector
and(int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix: ANDs the first value of the row with the given value
and(int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset
ANONYMITY - Enum-Konstante in Enumeration org.deidentifier.arx.algorithm.FLASHPhaseConfiguration.PhaseAnonymityProperty
anonymize(Data, ARXConfiguration) - Methode in Klasse org.deidentifier.arx.ARXAnonymizer: Performs data anonymization.
anonymize(DataManager, DataDefinition, ARXConfiguration) - Methode in Klasse org.deidentifier.arx.ARXAnonymizer: Reset a previous lattice and run the algorithm.
ANONYMOUS - Enum-Konstante in Enumeration org.deidentifier.arx.ARXLattice.Anonymity: ANONYMOUS
ANY_VALUE - Statische Variable in Klasse org.deidentifier.arx.DataType: The string representing the ANY value
append(T) - Methode in Klasse org.deidentifier.arx.framework.check.history.MRUCache: Append.
appliesTo(Transformation<?>) - Methode in Klasse org.deidentifier.arx.framework.lattice.DependentAction: Determines whether the trigger action should be performed.
appliesTo(Transformation<?>) - Methode in Klasse org.deidentifier.arx.framework.lattice.DependentAction.NodeActionConstant
appliesTo(Transformation<?>) - Methode in Klasse org.deidentifier.arx.framework.lattice.DependentAction.NodeActionInverse
apply(long, int[], HashGroupify) - Methode in Klasse org.deidentifier.arx.framework.check.Transformer: Apply.
apply(Transformation<?>) - Methode in Klasse org.deidentifier.arx.framework.lattice.DependentAction: Applies the trigger to the given transformation.
applyInternal(long, int[], HashGroupify, HashGroupify, int[], TransformationCheckerStateMachine.TransitionType) - Methode in Klasse org.deidentifier.arx.framework.check.Transformer: Apply internal.
applyRollup(long, int[], HashGroupify, HashGroupify) - Methode in Klasse org.deidentifier.arx.framework.check.Transformer: Apply rollup.
applySnapshot(long, int[], HashGroupify, int[]) - Methode in Klasse org.deidentifier.arx.framework.check.Transformer: Apply snapshot.
applyTransformation(Transformation<?>) - Methode in Klasse org.deidentifier.arx.framework.check.TransformationApplicator: Applies the given transformation and returns the dataset
applyTransformation(Transformation<?>, Dictionary) - Methode in Klasse org.deidentifier.arx.framework.check.TransformationApplicator: Applies the given transformation and returns the dataset
ARABIC - Enum-Konstante in Enumeration org.deidentifier.arx.certificate.CertificateStyle.ListStyle
ARITHMETIC_MEAN - Enum-Konstante in Enumeration org.deidentifier.arx.metric.Metric.AggregateFunction: Arithmetic mean
array - Variable in Klasse org.deidentifier.arx.DataSubset: The subset as a sorted array of indices.
ARXAnonymizer - Klasse in org.deidentifier.arx: This class offers several methods to define parameters and execute the ARX algorithm.
ARXAnonymizer() - Konstruktor für Klasse org.deidentifier.arx.ARXAnonymizer: Creates a new anonymizer with the default configuration.
ARXAnonymizer(int, double, double) - Konstruktor für Klasse org.deidentifier.arx.ARXAnonymizer: Creates a new anonymizer with the given configuration.
ARXCertificate - Klasse in org.deidentifier.arx.certificate: A PDF document
ARXClassificationConfiguration<T> - Klasse in org.deidentifier.arx: An base class for configuration classes for classification experiments
ARXClassificationConfiguration() - Konstruktor für Klasse org.deidentifier.arx.ARXClassificationConfiguration: Creates a new instance with default settings
ARXClassificationConfiguration(boolean, int, int, long, int) - Konstruktor für Klasse org.deidentifier.arx.ARXClassificationConfiguration: Clone constructor
ARXConfiguration - Klasse in org.deidentifier.arx: A generic configuration for the ARX anonymizer.
ARXConfiguration.AnonymizationAlgorithm - Enum in org.deidentifier.arx: The algorithms supported by ARX
ARXConfiguration.ARXConfigurationInternal - Klasse in org.deidentifier.arx: Class for internal use that provides access to more parameters and functionality.
ARXConfiguration.Monotonicity - Enum in org.deidentifier.arx: Monotonicity.
ARXConfiguration.SearchStepSemantics - Enum in org.deidentifier.arx: The semantics of heuristic search steps.
ARXConfigurationInternal(ARXConfiguration) - Konstruktor für Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal: Creates a new instance.
ARXCostBenefitConfiguration - Klasse in org.deidentifier.arx: Basic configuration of monetary amounts, such as the publisher's benefit per record or the per-record fine fine for a successful re-identification attack.
ARXCostBenefitConfiguration() - Konstruktor für Klasse org.deidentifier.arx.ARXCostBenefitConfiguration: Hide constructor
ARXFeatureScaling - Klasse in org.deidentifier.arx: Configuration for feature scaling
ARXLattice - Klasse in org.deidentifier.arx: This class implements a representation of the generalization lattice that is exposed to users of the API.
ARXLattice.Access - Klasse in org.deidentifier.arx: The internal accessor class.
ARXLattice.Anonymity - Enum in org.deidentifier.arx: Reflects different anonymity properties.
ARXLattice.ARXNode - Klasse in org.deidentifier.arx: A node in the lattice.
ARXLattice.ARXNode.Access - Klasse in org.deidentifier.arx: Internal access class.
ARXLattice.LatticeDeserializationContext - Klasse in org.deidentifier.arx: Context for deserialization.
ARXListener - Schnittstelle in org.deidentifier.arx: This class implements a listener for the ARX framework.
ARXNode(ARXLattice) - Konstruktor für Klasse org.deidentifier.arx.ARXLattice.ARXNode: Internal constructor for deserialization.
ARXPopulationModel - Klasse in org.deidentifier.arx: This class models population properties for risk estimation
ARXPopulationModel.Region - Enum in org.deidentifier.arx: Regions
ARXProcessStatistics - Klasse in org.deidentifier.arx: Statistics about the anonymization process for output data
ARXProcessStatistics() - Konstruktor für Klasse org.deidentifier.arx.ARXProcessStatistics: Creates an instance representing the fact that no optimization has been performed
ARXProcessStatistics(ARXAnonymizer.Result, int, int, long) - Konstruktor für Klasse org.deidentifier.arx.ARXProcessStatistics: Creates an instance for an individual optimization step
ARXProcessStatistics(ARXLattice, ARXLattice.ARXNode, boolean, long) - Konstruktor für Klasse org.deidentifier.arx.ARXProcessStatistics: Creates an instance for the global anonymization step
ARXProcessStatistics.Step - Klasse in org.deidentifier.arx: One individual anonymization step
ARXResult - Klasse in org.deidentifier.arx: Encapsulates the results of an execution of the ARX algorithm.
ARXResult(ARXAnonymizer, DataRegistry, DataManager, TransformationChecker, DataDefinition, ARXConfiguration, ARXLattice, long, SolutionSpace<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.ARXResult: Creates a new instance.
ARXResult(DataHandle, DataDefinition, ARXLattice, int, double, double, Metric<?>, ARXConfiguration, ARXLattice.ARXNode, long, SolutionSpace<?>, ARXProcessStatistics) - Konstruktor für Klasse org.deidentifier.arx.ARXResult: Internal constructor for deserialization.
ARXSolverConfiguration - Klasse in org.deidentifier.arx: Runtime configuration for the solver
ARXString() - Konstruktor für Klasse org.deidentifier.arx.DataType.ARXString
asList() - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementData: Returns a list
asList(String) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementData: Returns a list
asMap() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsFrequencyDistribution: Returns the distribution as a map
assureChecked(Transformation<?>) - Methode in Klasse org.deidentifier.arx.algorithm.LIGHTNINGAlgorithm: Makes sure that the given TransformationUngültige Eingabe: "<"?
ATTR_TYPE_ID - Statische Variable in Klasse org.deidentifier.arx.AttributeType: Constant for type ID.
ATTR_TYPE_IS - Statische Variable in Klasse org.deidentifier.arx.AttributeType: Constant for type IN.
ATTR_TYPE_QI - Statische Variable in Klasse org.deidentifier.arx.AttributeType: Constant for type QI.
ATTR_TYPE_SE - Statische Variable in Klasse org.deidentifier.arx.AttributeType: Constant for type SE.
attribute - Variable in Klasse org.deidentifier.arx.criteria.ExplicitPrivacyCriterion: Attribute
attribute - Variable in Klasse org.deidentifier.arx.framework.data.GeneralizationHierarchy: Name.
ATTRIBUTE_NAME - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.MatchType
ATTRIBUTE_VALUE - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.MatchType
AttributeType - Klasse in org.deidentifier.arx: Represents an attribute type.
AttributeType.Hierarchy - Klasse in org.deidentifier.arx: This class implements a generalization hierarchy.
AttributeType.Hierarchy.DefaultHierarchy - Klasse in org.deidentifier.arx: The default implementation of a generalization hierarchy.
AttributeType.MicroAggregationFunction - Klasse in org.deidentifier.arx: This class is used to define aggregate functions for microaggregation.
AttributeType.MicroAggregationFunctionDescription - Klasse in org.deidentifier.arx: This class describes a microaggregation function
AUSTRALIA - Enum-Konstante in Enumeration org.deidentifier.arx.ARXPopulationModel.Region
AverageReidentificationRisk - Klasse in org.deidentifier.arx.criteria: This criterion ensures that an estimate for the average re-identification risk falls below a given threshold.
AverageReidentificationRisk(double) - Konstruktor für Klasse org.deidentifier.arx.criteria.AverageReidentificationRisk: Creates a new instance of this model.
AverageReidentificationRisk(double, double, double) - Konstruktor für Klasse org.deidentifier.arx.criteria.AverageReidentificationRisk: Creates a new instance of a relaxed variant of this model with average risk, highest risk and the fraction of records with a risk exceeding the highest risk.

B

BasicBLikeness - Klasse in org.deidentifier.arx.criteria: Basic-beta-Likeness:

Jianneng Cao, Panagiotis Karras:
Publishing Microdata with a Robust Privacy Guarantee
VLDB 2012.
BasicBLikeness(String, double) - Konstruktor für Klasse org.deidentifier.arx.criteria.BasicBLikeness: Creates a new instance
begin() - Methode in Klasse org.deidentifier.arx.DataSelector
BERNOULLI - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.ClassificationConfigurationNaiveBayes.Type
BEST_EFFORT_BINARY - Enum-Konstante in Enumeration org.deidentifier.arx.ARXConfiguration.AnonymizationAlgorithm
BEST_EFFORT_BOTTOM_UP - Enum-Konstante in Enumeration org.deidentifier.arx.ARXConfiguration.AnonymizationAlgorithm
BEST_EFFORT_GENETIC - Enum-Konstante in Enumeration org.deidentifier.arx.ARXConfiguration.AnonymizationAlgorithm
BEST_EFFORT_TOP_DOWN - Enum-Konstante in Enumeration org.deidentifier.arx.ARXConfiguration.AnonymizationAlgorithm
binomialProbability(int, IntervalDouble, int) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Probability mass function of the binomial distribution based on the saddle point expansion described in the manuscript Catherine Loader.
BIOMETRIC_IDENTIFIER - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier
BOLD - Enum-Konstante in Enumeration org.deidentifier.arx.certificate.elements.ElementText.TextStyle
BRASIL - Enum-Konstante in Enumeration org.deidentifier.arx.ARXPopulationModel.Region
buffer - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The buffer.
bufferGeneralized - Variable in Klasse org.deidentifier.arx.framework.check.TransformedData: The GH buffer
bufferMicroaggregated - Variable in Klasse org.deidentifier.arx.framework.check.TransformedData: The OT buffer
build() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilder: Creates a new hierarchy, based on the predefined specification.
build() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate: Creates a new hierarchy, based on the predefined specification.
build() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased: Creates a new hierarchy, based on the predefined specification.
build() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased: Creates a new hierarchy, based on the predefined specification.
build() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased: Creates a new hierarchy, based on the predefined specification.
build() - Methode in Klasse org.deidentifier.arx.DataSelector
build(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilder: Creates a new hierarchy, based on the predefined specification.
build(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate: Creates a new hierarchy, based on the predefined specification.
build(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased: Creates a new hierarchy, based on the predefined specification.
build(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased: Creates a new hierarchy, based on the predefined specification.
build(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased: Creates a new hierarchy, based on the predefined specification.
BULLETS - Enum-Konstante in Enumeration org.deidentifier.arx.certificate.CertificateStyle.ListStyle

C

calculateCapacity(int) - Statische Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashTableUtil: Calculates a new capacity.
calculateThreshold(int, float) - Statische Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashTableUtil: Computes the threshold for rehashing.
call() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer
callAll(int, int) - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyCounter
callAll(int, int) - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyCounterDistribution
callAll(int, int) - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyCounterSecondaryCounter
callAll(int, int) - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyCounterSecondaryCounterDistribution
callAll(int, int) - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyDistribution
callAll(int, int) - Methode in Schnittstelle org.deidentifier.arx.framework.check.transformer.AbstractTransformer.IGroupify: Mode ALL.
callGroupify(int, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyCounter
callGroupify(int, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyCounterDistribution
callGroupify(int, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyCounterSecondaryCounter
callGroupify(int, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyCounterSecondaryCounterDistribution
callGroupify(int, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyDistribution
callGroupify(int, HashGroupifyEntry) - Methode in Schnittstelle org.deidentifier.arx.framework.check.transformer.AbstractTransformer.IGroupify: Mode GROUPIFY.
callSnapshot(int, int[], int) - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyCounter
callSnapshot(int, int[], int) - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyCounterDistribution
callSnapshot(int, int[], int) - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyCounterSecondaryCounter
callSnapshot(int, int[], int) - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyCounterSecondaryCounterDistribution
callSnapshot(int, int[], int) - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyDistribution
callSnapshot(int, int[], int) - Methode in Schnittstelle org.deidentifier.arx.framework.check.transformer.AbstractTransformer.IGroupify: Mode SNAPSHOT.
CANADA - Enum-Konstante in Enumeration org.deidentifier.arx.ARXPopulationModel.Region
Cardinalities - Klasse in org.deidentifier.arx.metric.v2: This class represents cardinalities.
Cardinalities(int[][][]) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.Cardinalities: For backwards compatibility, derives the cardinalities from the given array.
Cardinalities(Data, RowSet, GeneralizationHierarchy[]) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.Cardinalities: Creates a new instance for the given data set.
ceil(IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Ceil
ceilLowerBoundToInt(IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Returns ceil of the lower bound to int
ceilToInt(IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Returns ceil() to int, if clearly defined
CENTURY - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity: Granularity
CERTIFICATE_NUMBER - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier
CertificateStyle - Klasse in org.deidentifier.arx.certificate: Style information for a PDF document
CertificateStyle.ListStyle - Enum in org.deidentifier.arx.certificate: Enum for list styles
check(Transformation<?>) - Methode in Klasse org.deidentifier.arx.framework.check.TransformationChecker: Checks the given transformation, computes the utility if it fulfills the privacy model
check(Transformation<?>, boolean, TransformationChecker.ScoreType) - Methode in Klasse org.deidentifier.arx.framework.check.TransformationChecker: Checks the given transformation
checkColumn(int) - Methode in Klasse org.deidentifier.arx.DataHandle: Checks a column index.
checkColumns(int[]) - Methode in Klasse org.deidentifier.arx.DataHandle: Checks the column indexes.
checker - Variable in Klasse org.deidentifier.arx.algorithm.AbstractAlgorithm: A node checker.
checkInterrupt() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss: Checks whether an interruption happened.
checkInterrupt() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy: Checks whether an interruption happened.
checkInterrupt() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision: Checks whether an interruption happened.
checkInterrupt() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError: Checks whether an interruption happened.
checkInterrupt() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS: Checks whether an interruption happened.
checkInterrupt() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity: Checks whether an interruption happened.
checkInterrupt() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility: Checks whether an interruption happened.
checkInterrupt() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError: Checks whether an interruption happened.
checkInterrupt() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST: Checks whether an interruption happened.
checkInterrupt() - Methode in Schnittstelle org.deidentifier.arx.DataHandleInternal.InterruptHandler: Method
checkInterrupt() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness: Checks for interrupts
checkMonotonicity(DataManager) - Methode in Klasse org.deidentifier.arx.framework.data.GeneralizationHierarchy: Throws an exception, if the hierarchy is not monotonic.
checkReleased() - Methode in Klasse org.deidentifier.arx.DataHandle: Checks whether a registry is referenced.
checkRow(int, int) - Methode in Klasse org.deidentifier.arx.DataHandle: Checks a row index.
CHECKS - Enum-Konstante in Enumeration org.deidentifier.arx.ARXConfiguration.SearchStepSemantics: Steps correspond to checks
CHINA - Enum-Konstante in Enumeration org.deidentifier.arx.ARXPopulationModel.Region
CLASSIFICATION_ERROR - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest.SplitRule
ClassificationConfigurationLogisticRegression - Klasse in org.deidentifier.arx.aggregates: Configuration for logistic regression
ClassificationConfigurationLogisticRegression(double, double, double, double, int, int, int, int, int, boolean, ClassificationConfigurationLogisticRegression.PriorFunction) - Konstruktor für Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression: Clone constructor
ClassificationConfigurationLogisticRegression.PriorFunction - Enum in org.deidentifier.arx.aggregates: Prior function for regularization
ClassificationConfigurationNaiveBayes - Klasse in org.deidentifier.arx.aggregates: Configuration for naive bayes classification
ClassificationConfigurationNaiveBayes(boolean, int, int, long, int, ClassificationConfigurationNaiveBayes.Type, double) - Konstruktor für Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationNaiveBayes: Clone constructor
ClassificationConfigurationNaiveBayes.Type - Enum in org.deidentifier.arx.aggregates: Type of bayes classifier
ClassificationConfigurationRandomForest - Klasse in org.deidentifier.arx.aggregates: Configuration for Random Forest classifiers
ClassificationConfigurationRandomForest(boolean, int, int, long, int, int, int, int, int, double, ClassificationConfigurationRandomForest.SplitRule) - Konstruktor für Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest: Clone constructor
ClassificationConfigurationRandomForest.SplitRule - Enum in org.deidentifier.arx.aggregates: Split rule for the decision tree
ClassificationDataSpecification - Klasse in org.deidentifier.arx.aggregates.classification: A complete specification of all input and output data
ClassificationDataSpecification(DataHandleInternal, DataHandleInternal, ARXFeatureScaling, String[], String, WrappedBoolean) - Konstruktor für Klasse org.deidentifier.arx.aggregates.classification.ClassificationDataSpecification: Creates a new instance
ClassificationFeatureMetadata - Klasse in org.deidentifier.arx.aggregates.classification: Metadata about a single feature
ClassificationFeatureMetadata(String, DataType<?>, ARXFeatureScaling, boolean) - Konstruktor für Klasse org.deidentifier.arx.aggregates.classification.ClassificationFeatureMetadata: Creates a new instance
ClassificationMethod - Klasse in org.deidentifier.arx.aggregates.classification: Implements a classifier
ClassificationMethod(WrappedBoolean) - Konstruktor für Klasse org.deidentifier.arx.aggregates.classification.ClassificationMethod: Creates a new instance
ClassificationResult - Schnittstelle in org.deidentifier.arx.aggregates.classification: A classification result
classify(DataHandleInternal, int) - Methode in Klasse org.deidentifier.arx.aggregates.classification.ClassificationMethod: Classify
classify(DataHandleInternal, int) - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassLogisticRegression
classify(DataHandleInternal, int) - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassNaiveBayes
classify(DataHandleInternal, int) - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassRandomForest
classify(DataHandleInternal, int) - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassZeroR
classIndex - Variable in Klasse org.deidentifier.arx.aggregates.classification.ClassificationDataSpecification: Index
classMap - Variable in Klasse org.deidentifier.arx.aggregates.classification.ClassificationDataSpecification: Map
clear() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.Distribution: Clears the table.
clear() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.IntArrayDictionary: Clears the dictionary.
clear() - Methode in Klasse org.deidentifier.arx.framework.check.history.MRUCache: Clear.
clearGroups() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased.Level: Removes all groups on this level.
clearIntervals() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased: Adds an interval.
clone() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression
clone() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationNaiveBayes
clone() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest
clone() - Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration
clone() - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Clones this config.
clone() - Methode in Klasse org.deidentifier.arx.ARXCostBenefitConfiguration
clone() - Methode in Klasse org.deidentifier.arx.ARXPopulationModel: Returns a clone of this object
clone() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics
clone() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics.Step
clone() - Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration: Clones this config
clone() - Methode in Klasse org.deidentifier.arx.AttributeType
clone() - Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy
clone() - Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy.DefaultHierarchy
clone() - Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction: Clones this function
clone() - Methode in Klasse org.deidentifier.arx.criteria.AverageReidentificationRisk
clone() - Methode in Klasse org.deidentifier.arx.criteria.BasicBLikeness
clone() - Methode in Klasse org.deidentifier.arx.criteria.DDisclosurePrivacy
clone() - Methode in Klasse org.deidentifier.arx.criteria.DistinctLDiversity
clone() - Methode in Klasse org.deidentifier.arx.criteria.DPresence
clone() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy
clone() - Methode in Klasse org.deidentifier.arx.criteria.EnhancedBLikeness
clone() - Methode in Klasse org.deidentifier.arx.criteria.EntropyLDiversity
clone() - Methode in Klasse org.deidentifier.arx.criteria.EqualDistanceTCloseness
clone() - Methode in Klasse org.deidentifier.arx.criteria.HierarchicalDistanceTCloseness
clone() - Methode in Klasse org.deidentifier.arx.criteria.KAnonymity
clone() - Methode in Klasse org.deidentifier.arx.criteria.KMap
clone() - Methode in Klasse org.deidentifier.arx.criteria.OrderedDistanceTCloseness
clone() - Methode in Klasse org.deidentifier.arx.criteria.PopulationUniqueness
clone() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion: Clone
clone() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalist
clone() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalistNoAttack
clone() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutor
clone() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack
clone() - Methode in Klasse org.deidentifier.arx.criteria.RecursiveCLDiversity
clone() - Methode in Klasse org.deidentifier.arx.criteria.SampleUniqueness
clone() - Methode in Klasse org.deidentifier.arx.DataDefinition
clone() - Methode in Klasse org.deidentifier.arx.DataGeneralizationScheme: Clone method
clone() - Methode in Klasse org.deidentifier.arx.DataSubset: Clone
clone() - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
clone() - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
clone() - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
clone() - Methode in Klasse org.deidentifier.arx.DataType.ARXOrderedString
clone() - Methode in Klasse org.deidentifier.arx.DataType.ARXString
clone() - Methode in Klasse org.deidentifier.arx.DataType
clone() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction: Clones this function
clone() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionArithmeticMean: Clone method
clone() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionGeometricMean: Clone method
clone() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionInterval: Clone method
clone() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionMedian: Clone method
clone() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionMode: Clone method
clone() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionModeWithDistributionFallback: Clone method
clone() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionSet: Clone method
clone() - Methode in Klasse org.deidentifier.arx.framework.data.Data
clone() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation: Returns a clone for data subsets
clone() - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix
clone() - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset
clone() - Methode in Klasse org.deidentifier.arx.metric.InformationLoss: Returns a clone of this object.
clone() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensional
clone() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensionalReduced: Override this to implement a variant.
clone() - Methode in Schnittstelle org.deidentifier.arx.metric.v2.DomainShare: Clones the share
clone() - Methode in Klasse org.deidentifier.arx.metric.v2.DomainShareInterval
clone() - Methode in Klasse org.deidentifier.arx.metric.v2.DomainShareMaterialized
clone() - Methode in Klasse org.deidentifier.arx.metric.v2.DomainShareRedaction
clone() - Methode in Klasse org.deidentifier.arx.metric.v2.DomainShareReliable
clone() - Methode in Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalArithmeticMean
clone() - Methode in Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalGeometricMean
clone() - Methode in Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalMax
clone() - Methode in Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalRank
clone() - Methode in Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalSum
clone() - Methode in Klasse org.deidentifier.arx.metric.v2.ILScore
clone() - Methode in Klasse org.deidentifier.arx.metric.v2.ILSingleDimensional
clone() - Methode in Klasse org.deidentifier.arx.RowSet
clone(int[]) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix: Clones only a subset of the records
clone(DataSubset) - Methode in Klasse org.deidentifier.arx.criteria.Inclusion
clone(DataSubset) - Methode in Klasse org.deidentifier.arx.criteria.KMap
clone(DataSubset) - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion: Clone for local recoding
clone(DataSubset) - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalist
clone(DataSubset) - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalistNoAttack
clone(DataSubset) - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutor
clone(DataSubset) - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack
close() - Methode in Klasse org.deidentifier.arx.aggregates.classification.ClassificationMethod: Close
close() - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassLogisticRegression
close() - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassNaiveBayes
close() - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassRandomForest
close() - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassZeroR
close() - Methode in Klasse org.deidentifier.arx.io.CSVDataInput: Closes the reader.
close() - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationJDBC: Closes any underlying JDBC connection that may have either been created by ARX or passed during construction.
CloseElements(String[], AggregateFunction<T>) - Konstruktor für Klasse org.deidentifier.arx.aggregates.HierarchyBuilderOrderBased.CloseElements: Creates a new instance
column0 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The columns.
column1 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The columns.
column10 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The columns.
column11 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The columns.
column12 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The columns.
column13 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The columns.
column14 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The columns.
column2 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The columns.
column3 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The columns.
column4 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The columns.
column5 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The columns.
column6 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The columns.
column7 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The columns.
column8 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The columns.
column9 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The columns.
columns - Variable in Klasse org.deidentifier.arx.io.ImportConfiguration: List of columns to be imported Each element of this list represents a single column to import from.
columnToDataType - Variable in Klasse org.deidentifier.arx.DataHandle: The data types.
compare(Double, Double) - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
compare(Integer, Integer) - Methode in Klasse org.deidentifier.arx.algorithm.FLASHStrategy: Compares transformations.
compare(Long, Long) - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
compare(String, String) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
compare(String, String) - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
compare(String, String) - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
compare(String, String) - Methode in Klasse org.deidentifier.arx.DataType.ARXOrderedString
compare(String, String) - Methode in Klasse org.deidentifier.arx.DataType.ARXString
compare(String, String) - Methode in Klasse org.deidentifier.arx.DataType: Compares two values.
compare(String, String) - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale: Compare
compare(Date, Date) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
compare(T, T) - Methode in Klasse org.deidentifier.arx.DataType: Compare.
compare(T, T) - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale: Compare
compareTo(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.InformationLoss: Compares the loss to the other.
compareTo(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensional
compareTo(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensionalReduced
compareTo(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalRank
compareTo(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.ILScore
compareTo(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.ILSingleDimensional
compareTo(RiskModelAttributes.QuasiIdentifierRisk) - Methode in Klasse org.deidentifier.arx.risk.RiskModelAttributes.QuasiIdentifierRisk
COMPLETE - Enum-Konstante in Enumeration org.deidentifier.arx.DataGeneralizationScheme.GeneralizationDegree
ComputationInterruptedException - Ausnahmeklasse in org.deidentifier.arx.exceptions: Internal class for interrupts.
ComputationInterruptedException() - Konstruktor für Ausnahmeklasse org.deidentifier.arx.exceptions.ComputationInterruptedException: Constructor
ComputationInterruptedException(String) - Konstruktor für Ausnahmeklasse org.deidentifier.arx.exceptions.ComputationInterruptedException: Constructor
ComputationInterruptedException(String, Throwable) - Konstruktor für Ausnahmeklasse org.deidentifier.arx.exceptions.ComputationInterruptedException: Constructor
ComputationInterruptedException(Throwable) - Konstruktor für Ausnahmeklasse org.deidentifier.arx.exceptions.ComputationInterruptedException: Constructor
computeUtilityForMonotonicMetrics(Transformation<?>) - Methode in Klasse org.deidentifier.arx.algorithm.AbstractAlgorithm: Determine information loss implied by the given transformation if it can be used for estimating minimum and maximum information loss for tagged nodes.
confidences() - Methode in Schnittstelle org.deidentifier.arx.aggregates.classification.ClassificationResult: Returns the confidences for all class values
confidences() - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassLogisticRegressionClassificationResult
confidences() - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassNaiveBayesClassificationResult
confidences() - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassRandomForestClassificationResult
confidences() - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassZeroRClassificationResult
config - Variable in Klasse org.deidentifier.arx.algorithm.FLASHAlgorithmImpl: Configuration for the algorithm's phases.
config - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The mode of operation *.
config - Variable in Klasse org.deidentifier.arx.framework.check.Transformer: The config.
contains(double) - Methode in Klasse org.deidentifier.arx.reliability.IntervalDouble: Returns whether this interval contains the given value
contains(int) - Methode in Klasse org.deidentifier.arx.RowSet: Checks whether the bit is set
contains(HierarchyBuilderDate.Granularity) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate.Format: Returns whether a format for the given granularity is set
convert(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensional: Converter method.
convert(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensionalReduced: Converter method.
convert(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalRank
convert(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.ILScore: Converter method.
copyFrom(int, DataMatrix, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix: Copies a row from the given matrix into this matrix
correct(String) - Methode in Schnittstelle org.deidentifier.arx.aggregates.classification.ClassificationResult: Returns whether the result is correct
correct(String) - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassLogisticRegressionClassificationResult
correct(String) - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassNaiveBayesClassificationResult
correct(String) - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassRandomForestClassificationResult
correct(String) - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassZeroRClassificationResult
count - Variable in Klasse org.deidentifier.arx.aggregates.StatisticsContingencyTable: The total number of entries in the contingency table.
count - Variable in Klasse org.deidentifier.arx.aggregates.StatisticsFrequencyDistribution: The total number of data values.
count - Variable in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyEntry: The number of elements in this class.
create() - Statische Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression: Returns a new instance
create() - Statische Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationNaiveBayes: Returns a new instance
create() - Statische Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest: Returns a new instance
create() - Statische Methode in Klasse org.deidentifier.arx.ARXConfiguration: Creates a new configuration without tuple suppression.
create() - Statische Methode in Klasse org.deidentifier.arx.ARXCostBenefitConfiguration: Creates a new instance
create() - Statische Methode in Klasse org.deidentifier.arx.ARXFeatureScaling: Returns a new instance
create() - Statische Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration: Creates a new instance
create() - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new default hierarchy.
create() - Statische Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle: Creates a new instance
create() - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new default data object.
create() - Statische Methode in Klasse org.deidentifier.arx.DataGeneralizationScheme: Creates a new data generalization scheme
create(char) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased: Values are aligned left-to-right and redacted right-to-left.
create(double) - Statische Methode in Klasse org.deidentifier.arx.ARXConfiguration: Creates a new configuration that allows the given percentage of outliers and thus implements tuple suppression.
create(double, Metric<?>) - Statische Methode in Klasse org.deidentifier.arx.ARXConfiguration: Creates a new configuration that allows the given percentage of outliers and thus implements tuple suppression.
create(int) - Statische Methode in Klasse org.deidentifier.arx.RowSet: Creates a new instance
create(int[], int[]) - Statische Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Creates a new solution space
create(int, double) - Statische Methode in Klasse org.deidentifier.arx.ARXPopulationModel: Creates a new instance
create(int, Set<Integer>) - Statische Methode in Klasse org.deidentifier.arx.DataSubset: Creates a new subset from the given set of tuple indices.
create(int, RowSet) - Statische Methode in Klasse org.deidentifier.arx.DataSubset: Creates a new subset from the given row set, from which a copy is created.
create(long) - Statische Methode in Klasse org.deidentifier.arx.ARXPopulationModel: Creates a new instance
create(LongArrayList) - Statische Methode in Klasse org.deidentifier.arx.framework.lattice.TransformationList: Creates a new list for transformations managed by longs
create(JHPLIterator.LongIterator) - Statische Methode in Klasse org.deidentifier.arx.framework.lattice.ObjectIterator: Creates a new instance for longs
create(File) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilder: Loads a builder from a file.
create(File) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate: Loads a builder specification from the given file.
create(File) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased: Loads a builder specification from the given file.
create(File) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderOrderBased: Loads a builder specification from the given file.
create(File) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased: Loads a builder specification from the given file.
create(File) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased: Loads a builder specification from the given file.
create(File, Charset) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new hierarchy from a CSV file.
create(File, Charset) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(File, Charset, char) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new hierarchy from a CSV file.
create(File, Charset, char) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(File, Charset, char, char) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new hierarchy from a CSV file.
create(File, Charset, char, char) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(File, Charset, char, char, char) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new hierarchy from a CSV file.
create(File, Charset, char, char, char) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(File, Charset, char, char, char, char[]) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new hierarchy from a CSV file.
create(File, Charset, char, char, char, char[]) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(File, Charset, CSVSyntax) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new hierarchy from a CSV file.
create(File, Charset, CSVSyntax) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(File, Charset, CSVSyntax, DataType<?>[]) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(File, Charset, CSVSyntax, CSVOptions) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(InputStream, Charset) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new hierarchy from a CSV file.
create(InputStream, Charset) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(InputStream, Charset, char) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new hierarchy from a CSV file.
create(InputStream, Charset, char) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(InputStream, Charset, char, char) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new hierarchy from a CSV file.
create(InputStream, Charset, char, char) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(InputStream, Charset, char, char, char) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new hierarchy from a CSV file.
create(InputStream, Charset, char, char, char) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(InputStream, Charset, char, char, char, char[]) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new hierarchy from a CSV file.
create(InputStream, Charset, char, char, char, char[]) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(InputStream, Charset, char, int) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(InputStream, Charset, CSVSyntax) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new hierarchy from a CSV file.
create(InputStream, Charset, CSVSyntax) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(InputStream, Charset, CSVSyntax, DataType<?>[]) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(String) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilder: Loads a builder from a file.
create(String) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased: Loads a builder specification from the given file.
create(String) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderOrderBased: Loads a builder specification from the given file.
create(String) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased: Loads a builder specification from the given file.
create(String) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased: Loads a builder specification from the given file.
create(String[][]) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new hierarchy from a two-dimensional string array.
create(String[][]) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a two-dimensional string array.
create(String, Charset) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(String, Charset, char) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new hierarchy from a CSV file.
create(String, Charset, char) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(String, Charset, char, char) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(String, Charset, char, char, char) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(String, Charset, char, char, char, char[]) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(String, Charset, CSVSyntax) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new hierarchy from a CSV file.
create(String, Charset, CSVSyntax, DataType<?>[]) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(String, Charset, CSVSyntax, CSVOptions) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a CSV file.
create(Iterator<String[]>) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new hierarchy from an iterator over tuples.
create(Iterator<String[]>) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from an iterator over tuples.
create(Iterator<String[]>, Integer) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from an iterator over tuples.
create(List<String[]>) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Creates a new hierarchy from a list.
create(List<String[]>) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from a list.
create(List<SolutionSpaceIntArray.IntArrayWrapper>) - Statische Methode in Klasse org.deidentifier.arx.framework.lattice.TransformationList: Creates a new list for transformations managed by int arrays
create(Map<String, Integer>) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased: Create a new instance, prioritized by the order provided in the given array (highest to lowest) with a maximum of 10 levels.
create(Map<String, Integer>, HierarchyBuilderPriorityBased.Priority) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased: Create a new instance, prioritized by the order provided in the given array with the given order with a maximum of 10 levels.
create(Map<String, Integer>, HierarchyBuilderPriorityBased.Priority, int) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased: Create a new instance, prioritized by the order provided in the given array (highest to lowest)
create(HierarchyBuilderRedactionBased.Order, HierarchyBuilderRedactionBased.Order, char) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased: Values are aligned according to the alignmentOrder and redacted according to the redactionOrder.
create(HierarchyBuilderRedactionBased.Order, HierarchyBuilderRedactionBased.Order, char, char) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased: Values are aligned according to the alignmentOrder and redacted according to the redactionOrder.
create(ARXLattice, ARXConfiguration) - Statische Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Creates a new solution space
create(ARXPopulationModel.Region) - Statische Methode in Klasse org.deidentifier.arx.ARXPopulationModel: Creates a new instance
create(Data) - Statische Methode in Klasse org.deidentifier.arx.DataGeneralizationScheme: Creates a new data generalization scheme
create(Data) - Statische Methode in Klasse org.deidentifier.arx.DataSelector
create(Data) - Statische Methode in Klasse org.deidentifier.arx.RowSet: Creates a new instance
create(DataGeneralizationScheme.GeneralizationDegree) - Statische Methode in Klasse org.deidentifier.arx.DataGeneralizationScheme: Creates a new data generalization scheme
create(DataHandle, DataDefinition, ARXConfiguration, ARXResult, ARXLattice.ARXNode, DataHandle) - Statische Methode in Klasse org.deidentifier.arx.certificate.ARXCertificate: Creates a new instance
create(DataHandle, DataDefinition, ARXConfiguration, ARXResult, ARXLattice.ARXNode, DataHandle, CSVSyntax) - Statische Methode in Klasse org.deidentifier.arx.certificate.ARXCertificate: Renders the document into the given output stream.
create(DataHandle, DataDefinition, ARXConfiguration, ARXResult, ARXLattice.ARXNode, DataHandle, CSVSyntax, ElementData) - Statische Methode in Klasse org.deidentifier.arx.certificate.ARXCertificate: Renders the document into the given output stream.
create(Data, String) - Statische Methode in Klasse org.deidentifier.arx.DataSelector
create(Data, Set<Integer>) - Statische Methode in Klasse org.deidentifier.arx.DataSubset: Creates a new subset from the given set of tuple indices.
create(Data, Data) - Statische Methode in Klasse org.deidentifier.arx.DataSubset: Create a subset by matching two data instances.
create(Data, DataGeneralizationScheme.GeneralizationDegree) - Statische Methode in Klasse org.deidentifier.arx.DataGeneralizationScheme: Creates a new data generalization scheme
create(Data, DataSelector) - Statische Methode in Klasse org.deidentifier.arx.DataSubset: Creates a subset from the given selector.
create(Data, RowSet) - Statische Methode in Klasse org.deidentifier.arx.DataSubset: Creates a new subset from the given row set, from which a copy is created.
create(DataSource) - Statische Methode in Klasse org.deidentifier.arx.Data: Creates a new data object from the given data source specification.
create(DataType<Date>, TimeZone, HierarchyBuilderDate.Format, Date, Date, HierarchyBuilderDate.Granularity...) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate: Creates an hierarchy reflecting the given granularities
create(DataType<Date>, TimeZone, HierarchyBuilderDate.Format, HierarchyBuilderDate.Granularity...) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate: Creates an hierarchy reflecting the given granularities
create(DataType<Date>, HierarchyBuilderDate.Granularity...) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate: Creates an hierarchy reflecting the given granularities
create(DataType<T>) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased: Creates a new instance.
create(DataType<T>) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased: Create a new instance, prioritized by the order implied by the data type in order highest to lowest and a maximum of 10 levels.
create(DataType<T>, boolean) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderOrderBased: Creates a new instance.
create(DataType<T>, String[]) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderOrderBased: Creates a new instance.
create(DataType<T>, Comparator<T>) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderOrderBased: Creates a new instance.
create(DataType<T>, HierarchyBuilderIntervalBased.Range<T>, HierarchyBuilderIntervalBased.Range<T>) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased: Creates a new instance.
create(DataType<T>, HierarchyBuilderPriorityBased.Priority) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased: Create a new instance, prioritized by the order implied by the data type and a maximum of 10 levels.
create(DataType<T>, HierarchyBuilderPriorityBased.Priority, int) - Statische Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased: Create a new instance, prioritized by the order implied by the data type.
create(SolutionSpace<?>, Iterator<int[]>) - Statische Methode in Klasse org.deidentifier.arx.framework.lattice.ObjectIterator: Creates a new instance for int arrays
create(SolutionSpace<?>, TransformationChecker, boolean, int, double, int, int) - Statische Methode in Klasse org.deidentifier.arx.algorithm.DataDependentEDDPAlgorithm: Creates a new instance
create(SolutionSpace<?>, TransformationChecker, int, double, boolean, double, double, int, double, int, double, int, int) - Statische Methode in Klasse org.deidentifier.arx.algorithm.GeneticAlgorithm: Returns a new instance
create(SolutionSpace<?>, TransformationChecker, int, int) - Statische Methode in Klasse org.deidentifier.arx.algorithm.LIGHTNINGAlgorithm: Creates a new instance
create(SolutionSpace<?>, TransformationChecker, int, int) - Statische Methode in Klasse org.deidentifier.arx.algorithm.LIGHTNINGTopDownAlgorithm: Creates a new instance
create(SolutionSpace<Long>, TransformationChecker, FLASHStrategy, int, int) - Statische Methode in Klasse org.deidentifier.arx.algorithm.FLASHAlgorithm: Creates a new instance of the FLASH algorithm.
create(ImportConfiguration) - Statische Methode in Klasse org.deidentifier.arx.io.ImportAdapter: Factory method This will return an appropriate ImportAdapter for each implemented data source ImportAdapter.
create(Metric<?>) - Statische Methode in Klasse org.deidentifier.arx.ARXConfiguration: Creates a new configuration that allows to define the metric for measuring information loss.
createAECSMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates a new instance of the AECS metric.
createAECSMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates a new instance of the AECS metric.
createAECSMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates a new instance of the AECS metric.
createAECSMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates a new instance of the AECS metric.
createAECSMetric(int) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates a new instance of the AECS metric.
createAggregate() - Methode in Klasse org.deidentifier.arx.DataType: Returns a new function builder.
createAmbiguityMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the ambiguity metric.
createAmbiguityMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the ambiguity metric.
createArithmeticMean() - Statische Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction: Creates a microaggregation function returning the arithmetic mean.
createArithmeticMean(boolean) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction: Creates a microaggregation function returning the arithmetic mean.
createArithmeticMeanFunction() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.AggregateFunctionBuilder: An aggregate function that returns a the arithmetic mean, if it can be computed, NULL otherwise.
createArithmeticMeanOfBoundsFunction() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.AggregateFunctionBuilder: An aggregate function that returns a the arithmetic mean of min Ungültige Eingabe: "&" max, if it can be computed, NULL otherwise.
createBinaryPhaseConfiguration(FLASHPhaseConfiguration, History.StorageStrategy, boolean, boolean) - Statische Methode in Klasse org.deidentifier.arx.algorithm.FLASHConfiguration: Creates a binary-phase only configuration.
createBoundsFunction() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.AggregateFunctionBuilder: An aggregate function that returns an interval consisting of the first and the last element following the predefined order.
createClassificationMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the classification metric.
createClassificationMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the classification metric.
createClassificationMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the classification metric.
createClassificationMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the classification metric.
createConstantFunction(String) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.AggregateFunctionBuilder: An aggregate function that returns a constant value.
createCSVSource(File, Charset, char, boolean) - Statische Methode in Klasse org.deidentifier.arx.DataSource: Creates a CSV data source.
createCSVSource(String, Charset, char, boolean) - Statische Methode in Klasse org.deidentifier.arx.DataSource: Creates a CSV data source.
createDate(String) - Statische Methode in Klasse org.deidentifier.arx.DataType: A date data type with given format.
createDate(String, Locale) - Statische Methode in Klasse org.deidentifier.arx.DataType: A date data type with given format.
createDecimal(String) - Statische Methode in Klasse org.deidentifier.arx.DataType: A decimal data type with given format.
createDecimal(String, Locale) - Statische Methode in Klasse org.deidentifier.arx.DataType: Creates a decimal data type with a format string from the given locale.
createDiscernabilityMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the discernability metric.
createDiscernabilityMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the discernability metric.
createDiscernabilityMetric(boolean) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the discernability metric.
createDiscernabilityMetric(boolean) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the discernability metric.
createDiscernabilityMetric(boolean, double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the discernability metric.
createEntropyBasedInformationLossMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the entropy-based information loss metric, which will treat generalization and suppression equally.
createEntropyBasedInformationLossMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the entropy-based information loss metric.
createEntropyBasedInformationLossMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the entropy-based information loss metric.
createEntropyMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the non-monotonic non-uniform entropy metric.
createEntropyMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the non-monotonic non-uniform entropy metric.
createEntropyMetric(boolean) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the non-uniform entropy metric.
createEntropyMetric(boolean) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the non-uniform entropy metric.
createEntropyMetric(boolean, double) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the non-uniform entropy metric.
createEntropyMetric(boolean, double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the non-uniform entropy metric.
createEntropyMetric(boolean, double[][], int[][][], int[][][]) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the non-uniform entropy metric.
createEntropyMetric(boolean, double, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the non-uniform entropy metric.
createEntropyMetric(boolean, double, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the non-uniform entropy metric.
createEntropyMetric(boolean, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the non-uniform entropy metric.
createEntropyMetric(boolean, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the non-uniform entropy metric.
createEntropyMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the non-monotonic non-uniform entropy metric.
createEntropyMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the non-monotonic non-uniform entropy metric.
createExcelSource(File, int, boolean) - Statische Methode in Klasse org.deidentifier.arx.DataSource: Creates an Excel data source.
createExcelSource(String, int, boolean) - Statische Methode in Klasse org.deidentifier.arx.DataSource: Creates an Excel data source.
createGeometricMean() - Statische Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction: Creates a microaggregation function returning the geometric mean.
createGeometricMean(boolean) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction: Creates a microaggregation function returning the geometric mean.
createGeometricMeanFunction() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.AggregateFunctionBuilder: An aggregate function that returns a the geometric mean, if it can be computed, NULL otherwise.
createGeometricMeanOfBoundsFunction() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.AggregateFunctionBuilder: An aggregate function that returns a the geometric mean of min Ungültige Eingabe: "&" max, if it can be computed, NULL otherwise.
createHeightMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the height metric.
createHeightMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the height metric.
createHeightMetric(int, int) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the height metric.
createHeightMetric(Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the height metric.
createHeightMetric(Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the height metric.
createILMultiDimensionalArithmeticMean(double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Helper method.
createILMultiDimensionalSum(double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Helper method.
createILSingleDimensional(double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Helper method.
createInformationLoss(double) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricSingleDimensional: Create a loss object
createInformationLoss(double[]) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional: Helper method for creating information loss.
createInformationLoss(double, double) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricSingleDimensional: Create a loss object
createInformationLoss(InformationLoss<?>, Metric<?>, int, int) - Statische Methode in Klasse org.deidentifier.arx.metric.InformationLoss: Converter method, converting information loss from version 1 to information loss from version 2, if necessary.
createInstance(boolean) - Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunctionDescription: Creates an instance
createInstance(MetricConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricDescription: Creates an instance with the given configuration options.
createInstanceOfHighestScore() - Methode in Klasse org.deidentifier.arx.metric.Metric: Returns an instance of the highest possible score.
createInstanceOfLowestScore() - Methode in Klasse org.deidentifier.arx.metric.Metric: Returns an instance of the lowest possible score.
createInteger(String) - Statische Methode in Klasse org.deidentifier.arx.DataType: An integer data type with given format.
createInteger(String, Locale) - Statische Methode in Klasse org.deidentifier.arx.DataType: An integer data type with given format using the given locale.
createInterval() - Statische Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction: Creates a microaggregation function returning intervals.
createInterval(boolean) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction: Creates a microaggregation function returning intervals.
createInterval(double) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Creates a new interval
createInterval(double, double) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Creates a new interval
createInterval(int) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Creates a new interval
createIntervalFunction() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.AggregateFunctionBuilder: An aggregate function that returns an interval [min, max].
createIntervalFunction(boolean, boolean) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.AggregateFunctionBuilder: An aggregate function that returns an interval [min, max].
createJDBCSource(String, String) - Statische Methode in Klasse org.deidentifier.arx.DataSource: Creates a JDBC data source.
createJDBCSource(String, String, String, String) - Statische Methode in Klasse org.deidentifier.arx.DataSource: Creates a JDBC data source.
createKLDivergenceMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the KL Divergence metric.
createKLDivergenceMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the KL Divergence metric.
createLinearPhaseConfiguration(FLASHPhaseConfiguration, History.StorageStrategy, boolean, boolean) - Statische Methode in Klasse org.deidentifier.arx.algorithm.FLASHConfiguration: Creates a linear-phase only configuration.
createLogisticRegression() - Statische Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration: Creates a new instance for logistic regression classifiers
createLossMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the loss metric which treats generalization and suppression equally.
createLossMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the loss metric which treats generalization and suppression equally.
createLossMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the loss metric with factors for weighting generalization and suppression.
createLossMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the loss metric with factors for weighting generalization and suppression.
createLossMetric(double, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the loss metric with factors for weighting generalization and suppression.
createLossMetric(double, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the loss metric with factors for weighting generalization and suppression.
createLossMetric(Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the loss metric which treats generalization and suppression equally.
createLossMetric(Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the loss metric which treats generalization and suppression equally.
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.Metric: Veraltet.
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.MetricAECS
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.MetricDefault
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.MetricDM
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.MetricDMStar
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.MetricHeight
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.MetricNMPrecision
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.MetricPrecision
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.MetricStatic
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricSingleDimensional
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDAECS
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDClassification
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMAmbiguity
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMDiscernability
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMKLDivergence
createMaxInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMPublisherPayout
createMedian() - Statische Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction: Creates a microaggregation function returning the median.
createMedian(boolean) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction: Creates a microaggregation function returning the median.
createMetric(Metric<?>, int, int) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: This method supports backwards compatibility.
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.Metric: Veraltet.
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.MetricAECS
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.MetricDefault
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.MetricDM
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.MetricDMStar
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.MetricHeight
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.MetricNMPrecision
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.MetricPrecision
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.MetricStatic
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricSingleDimensional
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDAECS
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDClassification
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMAmbiguity
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMDiscernability
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMKLDivergence
createMinInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMPublisherPayout
createMode() - Statische Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction: Creates a microaggregation function returning the mode.
createMode(boolean) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction: Creates a microaggregation function returning the mode.
createModeWithDistributionFallback(boolean, Map<String, Double>, Long) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction: Creates a microaggregation function returning the mode.
createModeWithDistributionFallback(Map<String, Double>, long) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction: Creates a microaggregation function returning the mode.
createNaiveBayes() - Statische Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration: Creates a new instance for naive bayes classifiers
createNormalizedEntropyMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the normalized entropy metric.
createNormalizedEntropyMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the normalized entropy metric.
createNormalizedEntropyMetric(Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the normalized entropy metric.
createNormalizedEntropyMetric(Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the normalized entropy metric.
createOrderedString(String) - Statische Methode in Klasse org.deidentifier.arx.DataType: A ordered string type with given format.
createOrderedString(String[]) - Statische Methode in Klasse org.deidentifier.arx.DataType: A ordered string type with given format.
createOrderedString(List<String>) - Statische Methode in Klasse org.deidentifier.arx.DataType: A ordered string type with given format.
createPrecisionMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the non-monotonic precision metric.
createPrecisionMetric() - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the non-monotonic precision metric.
createPrecisionMetric(boolean) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the precision metric.
createPrecisionMetric(boolean) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the precision metric.
createPrecisionMetric(boolean, double) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the precision metric.
createPrecisionMetric(boolean, double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the precision metric.
createPrecisionMetric(boolean, double, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the precision metric.
createPrecisionMetric(boolean, double, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the precision metric.
createPrecisionMetric(boolean, int[], double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the precision metric.
createPrecisionMetric(boolean, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the precision metric.
createPrecisionMetric(boolean, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the precision metric.
createPrecisionMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the non-monotonic precision metric.
createPrecisionMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the non-monotonic precision metric.
createPrecisionMetric(double, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the non-monotonic precision metric.
createPrecisionMetric(double, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the non-monotonic precision metric.
createPrecisionMetric(Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the non-monotonic precision metric.
createPrecisionMetric(Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the non-monotonic precision metric.
createPrecomputedEntropyMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates a potentially precomputed instance of the non-monotonic non-uniform entropy metric.
createPrecomputedEntropyMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates a potentially precomputed instance of the non-monotonic non-uniform entropy metric.
createPrecomputedEntropyMetric(double, boolean) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates a potentially precomputed instance of the non-uniform entropy metric.
createPrecomputedEntropyMetric(double, boolean) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates a potentially precomputed instance of the non-uniform entropy metric.
createPrecomputedEntropyMetric(double, boolean, double) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates a potentially precomputed instance of the non-uniform entropy metric.
createPrecomputedEntropyMetric(double, boolean, double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates a potentially precomputed instance of the non-uniform entropy metric.
createPrecomputedEntropyMetric(double, boolean, double, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates a potentially precomputed instance of the non-uniform entropy metric.
createPrecomputedEntropyMetric(double, boolean, double, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates a potentially precomputed instance of the non-uniform entropy metric.
createPrecomputedEntropyMetric(double, boolean, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates a potentially precomputed instance of the non-uniform entropy metric.
createPrecomputedEntropyMetric(double, boolean, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates a potentially precomputed instance of the non-uniform entropy metric.
createPrecomputedEntropyMetric(double, double) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates a potentially precomputed instance of the non-monotonic non-uniform entropy metric.
createPrecomputedEntropyMetric(double, double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates a potentially precomputed instance of the non-monotonic non-uniform entropy metric.
createPrecomputedLossMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates a potentially precomputed instance of the loss metric which treats generalization and suppression equally.
createPrecomputedLossMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates a potentially precomputed instance of the loss metric which treats generalization and suppression equally.
createPrecomputedLossMetric(double, double) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates a potentially precomputed instance of the loss metric with factors for weighting generalization and suppression.
createPrecomputedLossMetric(double, double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates a potentially precomputed instance of the loss metric with factors for weighting generalization and suppression.
createPrecomputedLossMetric(double, double, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates a potentially precomputed instance of the loss metric with factors for weighting generalization and suppression.
createPrecomputedLossMetric(double, double, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates a potentially precomputed instance of the loss metric with factors for weighting generalization and suppression.
createPrecomputedLossMetric(double, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates a potentially precomputed instance of the loss metric which treats generalization and suppression equally.
createPrecomputedLossMetric(double, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates a potentially precomputed instance of the loss metric which treats generalization and suppression equally.
createPrecomputedNormalizedEntropyMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates a potentially precomputed instance of the normalized entropy metric.
createPrecomputedNormalizedEntropyMetric(double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates a potentially precomputed instance of the normalized entropy metric.
createPrecomputedNormalizedEntropyMetric(double, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates a potentially precomputed instance of the normalized entropy metric.
createPrecomputedNormalizedEntropyMetric(double, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates a potentially precomputed instance of the normalized entropy metric.
createPrefixFunction() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.AggregateFunctionBuilder: An aggregate function that returns a common prefix.
createPrefixFunction(Character) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.AggregateFunctionBuilder: An aggregate function that returns a common prefix.
createProjection(DataMatrix, String[], int[], Dictionary) - Statische Methode in Klasse org.deidentifier.arx.framework.data.Data: Creates an object which projects the given data onto the given set of columns
createPublisherBenefitMetric(boolean, double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of the model for maximizing publisher benefit in the game-theoretic privacy model based on a cost/benefit analysis.
createPublisherPayoutMetric(boolean) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the model for maximizing publisher benefit in the game-theoretic privacy model based on a cost/benefit analysis.
createPublisherPayoutMetric(boolean, double) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of the model for maximizing publisher benefit in the game-theoretic privacy model based on a cost/benefit analysis.
createRandomForest() - Statische Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration: Creates a new instance for random forest classifiers
createSet() - Statische Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction: Creates a microaggregation function returning sets.
createSet(boolean) - Statische Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction: Creates a microaggregation function returning sets.
createSetFunction() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.AggregateFunctionBuilder: An aggregate function that returns a set of all data values .
createSetOfPrefixesFunction() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.AggregateFunctionBuilder: An aggregate function that returns a set of the prefixes of the data values.
createSetOfPrefixesFunction(int) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.AggregateFunctionBuilder: An aggregate function that returns a set of the prefixes of the data values.
createStaticMetric(Map<String, List<Double>>) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of a metric with statically defined information loss.
createStaticMetric(Map<String, List<Double>>) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of a metric with statically defined information loss.
createStaticMetric(Map<String, List<Double>>, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Creates an instance of a metric with statically defined information loss.
createStaticMetric(Map<String, List<Double>>, Metric.AggregateFunction) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.__MetricV2: Creates an instance of a metric with statically defined information loss.
createTwoPhaseConfiguration(FLASHPhaseConfiguration, FLASHPhaseConfiguration, History.StorageStrategy, boolean, boolean) - Statische Methode in Klasse org.deidentifier.arx.algorithm.FLASHConfiguration: Creates a two-phase configuration.
createWrapper(DataMatrix, String[], int[], Dictionary) - Statische Methode in Klasse org.deidentifier.arx.framework.data.Data: Creates an object which simply encapsulates the provided objects
CSVDataChecksum - Klasse in org.deidentifier.arx.io: Provides methods for creating checksums CSV encoded data.
CSVDataChecksum() - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataChecksum: Instantiate.
CSVDataChecksum(char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataChecksum: Instantiate.
CSVDataChecksum(char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataChecksum: Instantiate.
CSVDataChecksum(char, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataChecksum: Instantiate.
CSVDataChecksum(char, char, char, char[]) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataChecksum: Instantiate.
CSVDataChecksum(char, char, char, char[], int) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataChecksum: Instantiate.
CSVDataChecksum(CSVSyntax) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataChecksum: Instantiate.
CSVDataInput - Klasse in org.deidentifier.arx.io: This class implements a reader for CSV encoded information.
CSVDataInput(File, Charset) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(File, Charset, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(File, Charset, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(File, Charset, char, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(File, Charset, char, char, char, char[]) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(File, Charset, char, char, char, char[], CSVOptions) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(File, Charset, CSVSyntax) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(File, Charset, CSVSyntax, DataType<?>[]) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instatiate.
CSVDataInput(File, Charset, CSVSyntax, CSVOptions) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(InputStream, Charset) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(InputStream, Charset, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(InputStream, Charset, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(InputStream, Charset, char, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(InputStream, Charset, char, char, char, char[]) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(InputStream, Charset, char, char, char, char[], CSVOptions) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(InputStream, Charset, CSVSyntax) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(InputStream, Charset, CSVSyntax, DataType<?>[]) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(InputStream, Charset, CSVSyntax, DataType<?>[], CSVOptions) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(InputStream, Charset, CSVSyntax, CSVOptions) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(Reader, char, char, char, char[], DataType<?>[]) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(Reader, char, char, char, char[], DataType<?>[], CSVOptions) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(String, Charset) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(String, Charset, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(String, Charset, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(String, Charset, char, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(String, Charset, char, char, char, char[]) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(String, Charset, char, char, char, char[], CSVOptions) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(String, Charset, CSVSyntax) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(String, Charset, CSVSyntax, DataType<?>[]) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate.
CSVDataInput(String, Charset, CSVSyntax, CSVOptions) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataInput: Instantiate
CSVDataOutput - Klasse in org.deidentifier.arx.io: Provides methods for writing CSV encoded data.
CSVDataOutput(File) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(File, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(File, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(File, char, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(File, char, char, char, char[]) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(File, CSVSyntax) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(OutputStream) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(OutputStream, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(OutputStream, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(OutputStream, char, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(OutputStream, char, char, char, char[]) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(OutputStream, char, char, char, char[], int) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(OutputStream, char, char, char, char[], Charset) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(OutputStream, CSVSyntax) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(Writer, char, char, char, char[]) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiates a new CSV data output.
CSVDataOutput(Writer, char, char, char, char[], int) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiates a new CSV data output.
CSVDataOutput(Writer, char, char, char, char[], CSVOptions) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiates a new CSV data output.
CSVDataOutput(String) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(String, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(String, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(String, char, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(String, char, char, char, char[]) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(String, CSVSyntax) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVDataOutput(String, CSVSyntax, CSVOptions) - Konstruktor für Klasse org.deidentifier.arx.io.CSVDataOutput: Instantiate.
CSVHierarchyInput - Klasse in org.deidentifier.arx.io: Reads a CSV encoded generalization hierarchy.
CSVHierarchyInput(File, Charset) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVHierarchyInput(File, Charset, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVHierarchyInput(File, Charset, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVHierarchyInput(File, Charset, char, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVHierarchyInput(File, Charset, char, char, char, char[]) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVHierarchyInput(File, Charset, CSVSyntax) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVHierarchyInput(InputStream, Charset) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVHierarchyInput(InputStream, Charset, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVHierarchyInput(InputStream, Charset, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVHierarchyInput(InputStream, Charset, char, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVHierarchyInput(InputStream, Charset, char, char, char, char[]) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVHierarchyInput(InputStream, Charset, CSVSyntax) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVHierarchyInput(String, Charset) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVHierarchyInput(String, Charset, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVHierarchyInput(String, Charset, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVHierarchyInput(String, Charset, char, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVHierarchyInput(String, Charset, char, char, char, char[]) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVHierarchyInput(String, Charset, CSVSyntax) - Konstruktor für Klasse org.deidentifier.arx.io.CSVHierarchyInput: Instantiate.
CSVOptions - Klasse in org.deidentifier.arx.io: Additional options for reading/writing CSV files
CSVOptions(int) - Konstruktor für Klasse org.deidentifier.arx.io.CSVOptions: Creates new options
CSVSyntax - Klasse in org.deidentifier.arx.io: Syntax for a CSV file.
CSVSyntax() - Konstruktor für Klasse org.deidentifier.arx.io.CSVSyntax: Instantiates a new syntax for a CSV file.
CSVSyntax(char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVSyntax: Instantiates a new syntax for a CSV file.
CSVSyntax(char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVSyntax: Instantiates a new syntax for a CSV file.
CSVSyntax(char, char, char) - Konstruktor für Klasse org.deidentifier.arx.io.CSVSyntax: Instantiates a new syntax for a CSV file.
CSVSyntax(char, char, char, char[]) - Konstruktor für Klasse org.deidentifier.arx.io.CSVSyntax: Instantiates a new syntax for a CSV file.
CSVSyntax(char, char, char, String) - Konstruktor für Klasse org.deidentifier.arx.io.CSVSyntax: Instantiates a new syntax for a CSV file.

D

DANKAR - Enum-Konstante in Enumeration org.deidentifier.arx.risk.RiskModelPopulationUniqueness.PopulationUniquenessModel
data - Variable in Klasse org.deidentifier.arx.DataHandleInput: The data.
data - Variable in Klasse org.deidentifier.arx.framework.check.history.MRUCacheEntry: The data.
data - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The data.
data - Variable in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Information loss
Data - Klasse in org.deidentifier.arx: Represents input data for the ARX framework.
Data - Klasse in org.deidentifier.arx.framework.data: Encodes a data object consisting of a dictionary encoded two-dimensional array, an associated dictionary, a header and a mapping to the columns in the input data set.
Data() - Konstruktor für Klasse org.deidentifier.arx.Data
Data.DefaultData - Klasse in org.deidentifier.arx: The default implementation of a data object.
DataAggregationInformation - Klasse in org.deidentifier.arx.framework.data: Small class to encapsulate information about data that needs to be analyzed aggregated.
DataAggregationInformation(Data, Map<String, DistributionAggregateFunction>, DataDefinition, Set<String>, Set<String>, Set<String>) - Konstruktor für Klasse org.deidentifier.arx.framework.data.DataAggregationInformation: Creates a new instance
dataAnalyzed - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The sensitive values.
dataAnalyzedNumberOfColumns - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: Analyzed number of columns.
dataAnalyzedNumberOfColumns - Variable in Klasse org.deidentifier.arx.framework.check.Transformer: Number of columns to analyze
DataDefinition - Klasse in org.deidentifier.arx: Encapsulates a definition of the types of attributes contained in a dataset.
DataDefinition() - Konstruktor für Klasse org.deidentifier.arx.DataDefinition
DataDependentEDDPAlgorithm - Klasse in org.deidentifier.arx.algorithm: This class implements the search algorithm used with data-dependent differential privacy as proposed in: Bild R, Kuhn KA, Prasser F.
DataGeneralizationScheme - Klasse in org.deidentifier.arx: This class encapsulates a generalization scheme
DataGeneralizationScheme.GeneralizationDegree - Enum in org.deidentifier.arx: A specific generalization degree
DataHandle - Klasse in org.deidentifier.arx: This class provides access to dictionary encoded data.
DataHandle() - Konstruktor für Klasse org.deidentifier.arx.DataHandle
DataHandleInput - Klasse in org.deidentifier.arx: An implementation of the DataHandle interface for input data.
DataHandleInput(Data) - Konstruktor für Klasse org.deidentifier.arx.DataHandleInput: Creates a new data handle.
DataHandleInternal - Klasse in org.deidentifier.arx: Wrapper class that provides information to StatisticsBuilder.
DataHandleInternal(DataHandle) - Konstruktor für Klasse org.deidentifier.arx.DataHandleInternal: Constructor
DataHandleInternal.InterruptHandler - Schnittstelle in org.deidentifier.arx: Interface
DataHandleOutput - Klasse in org.deidentifier.arx: An implementation of the class DataHandle for output data.
DataHandleOutput(ARXResult, DataRegistry, DataManager, InputStream, ARXLattice.ARXNode, DataDefinition, ARXConfiguration) - Konstruktor für Klasse org.deidentifier.arx.DataHandleOutput: Instantiates a new handle.
DataHandleOutput(ARXResult, DataRegistry, DataManager, Data, Data, ARXLattice.ARXNode, DataDefinition, ARXConfiguration) - Konstruktor für Klasse org.deidentifier.arx.DataHandleOutput: Instantiates a new handle.
DataHandleSubset - Klasse in org.deidentifier.arx: This implementation of a data handle projects a given data handle onto a given research subset.
DataHandleSubset(DataHandle, DataSubset) - Konstruktor für Klasse org.deidentifier.arx.DataHandleSubset: Creates a new handle that represents the research subset.
DataManager - Klasse in org.deidentifier.arx.framework.data: Holds all data needed for the anonymization process.
DataManager(String[], DataMatrix, Dictionary, DataDefinition, Map<String, DistributionAggregateFunction>, ARXConfiguration) - Konstruktor für Klasse org.deidentifier.arx.framework.data.DataManager: Creates a new data manager from pre-encoded data.
DataManager(Data, Data, Data, DataDefinition, DomainShare[], String[], GeneralizationHierarchy[], GeneralizationHierarchy[], int[], int[], DataAggregationInformation) - Konstruktor für Klasse org.deidentifier.arx.framework.data.DataManager: For creating a projected instance
DataManagerSubset - Klasse in org.deidentifier.arx.framework.data: A data manager that is projected onto a given subset.
DataManagerSubset(DataManager, Data, Data, Data, DataDefinition, DomainShare[], String[], GeneralizationHierarchy[], GeneralizationHierarchy[], int[], int[], DataAggregationInformation) - Konstruktor für Klasse org.deidentifier.arx.framework.data.DataManagerSubset: Constructor
DataMatrix - Klasse in org.deidentifier.arx.framework.data: A fast implementation of an array of arrays of equal size
DataMatrix(int, int) - Konstruktor für Klasse org.deidentifier.arx.framework.data.DataMatrix: Instantiates a new memory block.
DataMatrixSubset - Klasse in org.deidentifier.arx.framework.data: A subset of a data matrix
DataMatrixSubset(DataMatrix, int[]) - Konstruktor für Klasse org.deidentifier.arx.framework.data.DataMatrixSubset: Creates a new instance
DataScale - Enum in org.deidentifier.arx: This class represents different scales of measure.
DataSelector - Klasse in org.deidentifier.arx: A selector for tuples.
DataSource - Klasse in org.deidentifier.arx: This class provides configuration options for importing data from CSV-files, from Excel-files or via a JDBC connection.
DataSubset - Klasse in org.deidentifier.arx: This class represents a the dataset that is to be de-identified as a subset of the given population table.
DataType<T> - Klasse in org.deidentifier.arx: This class provides access to the data types supported by the ARX framework.
DataType() - Konstruktor für Klasse org.deidentifier.arx.DataType
DataType.ARXDate - Klasse in org.deidentifier.arx: Base class for date/time types.
DataType.ARXDecimal - Klasse in org.deidentifier.arx: Base class for numeric types.
DataType.ARXInteger - Klasse in org.deidentifier.arx: Base class for numeric types.
DataType.ARXOrderedString - Klasse in org.deidentifier.arx: Base class for ordered string types.
DataType.ARXString - Klasse in org.deidentifier.arx: Base class for string types.
DataType.DataTypeDescription<T> - Klasse in org.deidentifier.arx: An entry in the list of available data types.
DataType.DataTypeWithFormat - Schnittstelle in org.deidentifier.arx: An interface for data types with format.
DataType.DataTypeWithRatioScale<T> - Schnittstelle in org.deidentifier.arx: An interface for data types with a ratio scale.
dataTypes - Variable in Klasse org.deidentifier.arx.io.ImportAdapter: Array of datatypes describing the columns.
DATE - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier
DATE - Statische Variable in Klasse org.deidentifier.arx.DataType: A date data type with default format dd.mm.yyyy
DATE_BASED - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilder.Type: Date-based hierarchy
DAY_MONTH_YEAR - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity: Granularity
DDisclosurePrivacy - Klasse in org.deidentifier.arx.criteria: Delta-disclosure privacy as proposed in:

Justin Brickell and Vitaly Shmatikov:
The Cost of Privacy: Destruction of Data-mining Utility in Anonymized Data Publishing
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
2008
DDisclosurePrivacy(String, double) - Konstruktor für Klasse org.deidentifier.arx.criteria.DDisclosurePrivacy: Creates a new instance
DECADE - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity: Granularity
DECIMAL - Statische Variable in Klasse org.deidentifier.arx.DataType: A generic decimal data type.
decRefCount() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.IntArrayDictionaryEntry
decrementRefCount(int) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.IntArrayDictionary: Removes a element from the dictionary.
DEFAULT_ALPHA - Statische Variable in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression: Default value
DEFAULT_DECAY_EXPONENT - Statische Variable in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression: Default value
DEFAULT_DELIMITER - Statische Variable in Klasse org.deidentifier.arx.io.CSVSyntax: Default values.
DEFAULT_DETERMINISTIC - Statische Variable in Klasse org.deidentifier.arx.ARXClassificationConfiguration: Default value
DEFAULT_ESCAPE - Statische Variable in Klasse org.deidentifier.arx.io.CSVSyntax: Default values.
DEFAULT_LAMBDA - Statische Variable in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression: Default value
DEFAULT_LEARNING_RATE - Statische Variable in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression: Default value
DEFAULT_LINEBREAK - Statische Variable in Klasse org.deidentifier.arx.io.CSVSyntax: Default values.
DEFAULT_MAX_RECORDS - Statische Variable in Klasse org.deidentifier.arx.ARXClassificationConfiguration: Default value
DEFAULT_MAXMIMUM_NUMBER_OF_LEAF_NODES - Statische Variable in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest: Default value
DEFAULT_MINIMUM_SIZE_OF_LEAF_NODES - Statische Variable in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest: Default value
DEFAULT_NUMBER_OF_FOLDS - Statische Variable in Klasse org.deidentifier.arx.ARXClassificationConfiguration: Default value
DEFAULT_NUMBER_OF_TREES - Statische Variable in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest: Default value
DEFAULT_NUMBER_OF_VARIABLES_TO_SPLIT - Statische Variable in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest: Default value = 0: sqrt(#features) seems to provide good results
DEFAULT_PRIOR - Statische Variable in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression: Default value
DEFAULT_QUOTE - Statische Variable in Klasse org.deidentifier.arx.io.CSVSyntax: Default values.
DEFAULT_SIGMA - Statische Variable in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationNaiveBayes: Default value
DEFAULT_SPLIT_RULE - Statische Variable in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest: Split rule
DEFAULT_STEP_OFFSET - Statische Variable in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression: Default value
DEFAULT_SUBSAMPLE - Statische Variable in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest: 1.0 = sampling with replacement; Ungültige Eingabe: "<"1.0 = sampling without replacement
DEFAULT_TYPE - Statische Variable in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationNaiveBayes: Default value
DEFAULT_VECTOR_LENGTH - Statische Variable in Klasse org.deidentifier.arx.ARXClassificationConfiguration: Default value
DefaultData() - Konstruktor für Klasse org.deidentifier.arx.Data.DefaultData
DefaultHierarchy() - Konstruktor für Klasse org.deidentifier.arx.AttributeType.Hierarchy.DefaultHierarchy: Instantiates a new default hierarchy.
definalizeAll() - Methode in Klasse org.deidentifier.arx.framework.data.Dictionary: Definalizes the dictionary
definition - Variable in Klasse org.deidentifier.arx.DataHandle: The data definition.
delegate - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The delegate.
DependentAction - Klasse in org.deidentifier.arx.framework.lattice: A action that depends on properties of transformations.
DependentAction() - Konstruktor für Klasse org.deidentifier.arx.framework.lattice.DependentAction
DependentAction.NodeActionConstant - Klasse in org.deidentifier.arx.framework.lattice: A trigger for nodes.
DependentAction.NodeActionInverse - Klasse in org.deidentifier.arx.framework.lattice: A trigger for nodes.
DEVICE_IDENTIFIER - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier
dictionary - Variable in Klasse org.deidentifier.arx.DataHandleInput: The dictionary.
dictionary - Variable in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction: Dictionary
Dictionary - Klasse in org.deidentifier.arx.framework.data: A dictionary mapping integers to strings for different dimensions.
Dictionary(int) - Konstruktor für Klasse org.deidentifier.arx.framework.data.Dictionary: Instantiates a new dictionary.
Dictionary(Dictionary, int[]) - Konstruktor für Klasse org.deidentifier.arx.framework.data.Dictionary: Instantiates a new dictionary by extracting a projection of the given dictionary
dictionarySensFreq - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The dictionary for the snapshot compression *.
dictionarySensFreq - Variable in Klasse org.deidentifier.arx.framework.check.Transformer: The dictionary for the snapshot compression *.
dictionarySensValue - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The dictionary for the snapshot compression *.
dictionarySensValue - Variable in Klasse org.deidentifier.arx.framework.check.Transformer: The dictionary for the snapshot compression *.
dimensions - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The dimensions.
dimensions - Variable in Klasse org.deidentifier.arx.framework.check.Transformer: The dimensions.
DistinctLDiversity - Klasse in org.deidentifier.arx.criteria: The distinct l-diversity privacy criterion.
DistinctLDiversity(String, int) - Konstruktor für Klasse org.deidentifier.arx.criteria.DistinctLDiversity: Creates a new instance of the distinct l-diversity privacy criterion as proposed in Machanavajjhala A, Kifer D, Gehrke J.
distinctValues - Variable in Klasse org.deidentifier.arx.framework.data.GeneralizationHierarchy: Level->number of distinct values.
distribution - Variable in Klasse org.deidentifier.arx.framework.check.groupify.MetaHashGroupifyEntry: Frequency set for the value to analyze *.
Distribution - Klasse in org.deidentifier.arx.framework.check.distribution: This class can be utilized to track the distributions of values.
Distribution() - Konstruktor für Klasse org.deidentifier.arx.framework.check.distribution.Distribution: Default constructor.
Distribution(int[], int[]) - Konstruktor für Klasse org.deidentifier.arx.framework.check.distribution.Distribution: Constructor used to create frequency set from a history entry.
DistributionAggregateFunction - Klasse in org.deidentifier.arx.framework.check.distribution: This abstract class represents a function that aggregates values from a frequency distribution
DistributionAggregateFunction(boolean, boolean) - Konstruktor für Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction: Instantiates a new function.
DistributionAggregateFunction.DistributionAggregateFunctionArithmeticMean - Klasse in org.deidentifier.arx.framework.check.distribution: This class calculates the arithmetic mean for a given distribution.
DistributionAggregateFunction.DistributionAggregateFunctionGeometricMean - Klasse in org.deidentifier.arx.framework.check.distribution: This class calculates the geometric mean for a given distribution.
DistributionAggregateFunction.DistributionAggregateFunctionInterval - Klasse in org.deidentifier.arx.framework.check.distribution: This class calculates the mode for a given distribution.
DistributionAggregateFunction.DistributionAggregateFunctionMedian - Klasse in org.deidentifier.arx.framework.check.distribution: This class calculates the median for a given distribution.
DistributionAggregateFunction.DistributionAggregateFunctionMode - Klasse in org.deidentifier.arx.framework.check.distribution: This class calculates the mode for a given distribution.
DistributionAggregateFunction.DistributionAggregateFunctionModeWithDistributionFallback - Klasse in org.deidentifier.arx.framework.check.distribution: This class calculates the mode for a given distribution falling back to drawing from multiple values that would qualify as mode using the provided distribution
DistributionAggregateFunction.DistributionAggregateFunctionSet - Klasse in org.deidentifier.arx.framework.check.distribution: This class calculates a set for a given distribution.
DistributionAggregateFunctionArithmeticMean(boolean) - Konstruktor für Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionArithmeticMean: Instantiates.
DistributionAggregateFunctionGeometricMean(boolean) - Konstruktor für Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionGeometricMean: Instantiates.
DistributionAggregateFunctionInterval(boolean) - Konstruktor für Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionInterval: Instantiates.
DistributionAggregateFunctionMedian(boolean) - Konstruktor für Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionMedian: Instantiates.
DistributionAggregateFunctionMode(boolean) - Konstruktor für Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionMode: Instantiates.
DistributionAggregateFunctionModeWithDistributionFallback(boolean, Map<String, Double>, Long) - Konstruktor für Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionModeWithDistributionFallback: Instantiates.
DistributionAggregateFunctionSet(boolean) - Konstruktor für Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionSet: Instantiates.
DistributionIterator<T> - Klasse in org.deidentifier.arx.framework.check.distribution: An iterator over values of a distribution
distributions - Variable in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyEntry: Frequency set for other attributes *.
div(IntervalDouble, IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Division
divide(Double, Double) - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
divide(Long, Long) - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
divide(String, String) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
divide(String, String) - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
divide(String, String) - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
divide(String, String) - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale: Divide
divide(Date, Date) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
divide(T, T) - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale: Divide
DomainShare - Schnittstelle in org.deidentifier.arx.metric.v2: Base interface for domain shares.
DomainShareInterval<T> - Klasse in org.deidentifier.arx.metric.v2: This class represents a set of domain shares for an attribute.
DomainShareInterval(HierarchyBuilderIntervalBased<T>, int[][], String[]) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.DomainShareInterval: Creates a new set of domain shares derived from the given functional interval-based hierarchy.
DomainShareMaterialized - Klasse in org.deidentifier.arx.metric.v2: This class represents a set of domain shares for an attribute.
DomainShareMaterialized(String[][], String[], int[][]) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.DomainShareMaterialized: Creates a new set of domain shares derived from the given attribute.
DomainShareRedaction - Klasse in org.deidentifier.arx.metric.v2: This class represents a set of domain shares for an attribute.
DomainShareRedaction(HierarchyBuilderRedactionBased<?>) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.DomainShareRedaction: Creates a new set of domain shares derived from the given functional redaction-based hierarchy.
DomainShareReliable - Klasse in org.deidentifier.arx.metric.v2: This class represents a reliable set of domain shares for an attribute.
DomainShareReliable(String[][], String[], int[][]) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.DomainShareReliable: Creates a new set of domain shares derived from the given attribute.
doRelease() - Methode in Klasse org.deidentifier.arx.DataHandle: Releases all resources.
doRelease() - Methode in Klasse org.deidentifier.arx.DataHandleInput: Releases all resources.
doRelease() - Methode in Klasse org.deidentifier.arx.DataHandleOutput: Releases all resources.
doRelease() - Methode in Klasse org.deidentifier.arx.DataHandleSubset
DP_SCORE - Enum-Konstante in Enumeration org.deidentifier.arx.framework.check.TransformationChecker.ScoreType: Use score function for differential privacy.
DPresence - Klasse in org.deidentifier.arx.criteria: The d-presence criterion Published in: Nergiz M, Atzori M, Clifton C.
DPresence(double, double, DataSubset) - Konstruktor für Klasse org.deidentifier.arx.criteria.DPresence: Creates a new instance of the d-presence criterion as proposed in: Nergiz M, Atzori M, Clifton C.
DPresence(DataSubset) - Konstruktor für Klasse org.deidentifier.arx.criteria.DPresence: For building the inclusion criterion.

E

EDDifferentialPrivacy - Klasse in org.deidentifier.arx.criteria: (e,d)-Differential Privacy implemented with SafePub as proposed in: Bild R, Kuhn KA, Prasser F.
EDDifferentialPrivacy(double, double) - Konstruktor für Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy: Creates a new data-dependent instance
EDDifferentialPrivacy(double, double, DataGeneralizationScheme) - Konstruktor für Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy: Creates a new instance which is data-independent iff generalization is not null
EDDifferentialPrivacy(double, double, DataGeneralizationScheme, boolean) - Konstruktor für Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy: Creates a new instance which may be configured to produce deterministic output.
ELASTIC_BAND - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression.PriorFunction
element - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The element.
Element - Schnittstelle in org.deidentifier.arx.certificate.elements: An abstract element
ElementData - Klasse in org.deidentifier.arx.certificate.elements: Complex element of data items
ElementData(String) - Konstruktor für Klasse org.deidentifier.arx.certificate.elements.ElementData: Creates a new instance
ElementList - Klasse in org.deidentifier.arx.certificate.elements: PDF list
ElementList(CertificateStyle.ListStyle) - Konstruktor für Klasse org.deidentifier.arx.certificate.elements.ElementList: Creates a new list
ElementNewLine - Klasse in org.deidentifier.arx.certificate.elements: PDF text element
ElementNewLine() - Konstruktor für Klasse org.deidentifier.arx.certificate.elements.ElementNewLine: Creates a new instance
ElementPageBreak - Klasse in org.deidentifier.arx.certificate.elements: PDF page break
ElementPageBreak() - Konstruktor für Klasse org.deidentifier.arx.certificate.elements.ElementPageBreak
ElementSubtitle - Klasse in org.deidentifier.arx.certificate.elements: PDF subtitle element
ElementSubtitle(String) - Konstruktor für Klasse org.deidentifier.arx.certificate.elements.ElementSubtitle: Creates a new subtitle
ElementText - Klasse in org.deidentifier.arx.certificate.elements: PDF text element
ElementText(String) - Konstruktor für Klasse org.deidentifier.arx.certificate.elements.ElementText: Creates a new text
ElementText(String, ElementText.TextStyle) - Konstruktor für Klasse org.deidentifier.arx.certificate.elements.ElementText: Creates a new text
ElementText.TextStyle - Enum in org.deidentifier.arx.certificate.elements: Style
ElementTitle - Klasse in org.deidentifier.arx.certificate.elements: PDF title element
ElementTitle(String) - Konstruktor für Klasse org.deidentifier.arx.certificate.elements.ElementTitle: Creates a new title
ElementVerticalSpace - Klasse in org.deidentifier.arx.certificate.elements: PDF page break
ElementVerticalSpace(int) - Konstruktor für Klasse org.deidentifier.arx.certificate.elements.ElementVerticalSpace: Creates a new instance
EMAIL_ADDRESS - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier
end() - Methode in Klasse org.deidentifier.arx.DataSelector
enforce(HashGroupifyDistribution, int) - Methode in Klasse org.deidentifier.arx.criteria.RiskBasedCriterion
enforce(HashGroupifyDistribution, int) - Methode in Klasse org.deidentifier.arx.criteria.SampleBasedCriterion: This method enforces the criterion on the current hash table.
EnhancedBLikeness - Klasse in org.deidentifier.arx.criteria: Enhanced-beta-Likeness:

Jianneng Cao, Panagiotis Karras:
Publishing Microdata with a Robust Privacy Guarantee
VLDB 2012.
EnhancedBLikeness(String, double) - Konstruktor für Klasse org.deidentifier.arx.criteria.EnhancedBLikeness: Creates a new instance
ENTROPY - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest.SplitRule
EntropyLDiversity - Klasse in org.deidentifier.arx.criteria: The entropy l-diversity privacy model.
EntropyLDiversity(String, double) - Konstruktor für Klasse org.deidentifier.arx.criteria.EntropyLDiversity: Creates a new instance of the entropy l-diversity model as proposed in:
Machanavajjhala A, Kifer D, Gehrke J. l-diversity: Privacy beyond k-anonymity.
Transactions on Knowledge Discovery from Data (TKDD). 2007;1(1):3.
EntropyLDiversity(String, double, EntropyLDiversity.EntropyEstimator) - Konstruktor für Klasse org.deidentifier.arx.criteria.EntropyLDiversity: Creates a new instance of the entropy-l-diversity privacy model, specifying the entropy estimator be to used.
EntropyLDiversity.EntropyEstimator - Enum in org.deidentifier.arx.criteria: Enumerator of entropy estimators for the entropy-l-diversity privacy model.
EqualDistanceTCloseness - Klasse in org.deidentifier.arx.criteria: The t-closeness criterion with equal-distance EMD.
EqualDistanceTCloseness(String, double) - Konstruktor für Klasse org.deidentifier.arx.criteria.EqualDistanceTCloseness: Creates a new instance of the t-closeness criterion with equal earth-movers-distance as proposed in: Li N, Li T, Venkatasubramanian S.
equals(double) - Methode in Klasse org.deidentifier.arx.DataSelector
equals(int[], int[]) - Statische Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashTableUtil: Equality check for integer arrays.
equals(int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix: Compares two rows for equality
equals(int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset
equals(int, int[]) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix: Returns whether the given row has the given data
equals(int, int[]) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset
equals(Object) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.Interval
equals(Object) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsContingencyTable.Entry
equals(Object) - Methode in Klasse org.deidentifier.arx.common.TupleWrapper
equals(Object) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
equals(Object) - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
equals(Object) - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
equals(Object) - Methode in Klasse org.deidentifier.arx.DataType.ARXOrderedString
equals(Object) - Methode in Klasse org.deidentifier.arx.DataType.ARXString
equals(Object) - Methode in Klasse org.deidentifier.arx.DataType
equals(Object) - Methode in Klasse org.deidentifier.arx.metric.InformationLoss
equals(Object) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensional
equals(Object) - Methode in Klasse org.deidentifier.arx.metric.v2.ILScore
equals(Object) - Methode in Klasse org.deidentifier.arx.metric.v2.ILSingleDimensional
equals(String) - Methode in Klasse org.deidentifier.arx.DataSelector
equals(Date) - Methode in Klasse org.deidentifier.arx.DataSelector
equalsIgnore(int, int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix: Internal equals
equalsIgnoringOutliers(int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix: Equals ignoring outliers
equalsIgnoringOutliers(int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset
error(String) - Methode in Schnittstelle org.deidentifier.arx.aggregates.classification.ClassificationResult: Returns the error
error(String) - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassLogisticRegressionClassificationResult
error(String) - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassNaiveBayesClassificationResult
error(String) - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassRandomForestClassificationResult
error(String) - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassZeroRClassificationResult
estimateInformationLoss() - Methode in Klasse org.deidentifier.arx.ARXLattice: This method triggers the estimation of the information loss of all nodes in the lattice regardless of whether they have been checked for anonymity or not.
EUROPE - Enum-Konstante in Enumeration org.deidentifier.arx.ARXPopulationModel.Region
EUROPEAN_UNION - Enum-Konstante in Enumeration org.deidentifier.arx.ARXPopulationModel.Region
evaluate() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss
evaluate() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy
evaluate() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision
evaluate() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError
evaluate() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS
evaluate() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity
evaluate() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility
evaluate() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError
evaluate() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST
exp(IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Exp
expand() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode: Materializes any non-materialized predecessors and successors
expand(PriorityQueue<Object>, Transformation<?>, boolean) - Methode in Klasse org.deidentifier.arx.algorithm.LIGHTNINGAlgorithm: Returns the successor with minimal information loss, if any, null otherwise.
expand(ARXLattice.ARXNode) - Methode in Klasse org.deidentifier.arx.ARXLattice: Materializes any non-materialized predecessors and successors
EXPANSIONS - Enum-Konstante in Enumeration org.deidentifier.arx.ARXConfiguration.SearchStepSemantics: Steps correspond to expansions
ExplicitPrivacyCriterion - Klasse in org.deidentifier.arx.criteria: A privacy criterion that is explicitly bound to a sensitive attribute.
ExplicitPrivacyCriterion(String, boolean, boolean) - Konstruktor für Klasse org.deidentifier.arx.criteria.ExplicitPrivacyCriterion: Creates a new instance
ExponentialMechanism<T> - Klasse in org.deidentifier.arx.dp: An implementation of the exponential mechanism for discrete domains as proposed in: McSherry, Frank, and Kunal Talwar: Mechanism design via differential privacy.
ExponentialMechanism(double) - Konstruktor für Klasse org.deidentifier.arx.dp.ExponentialMechanism: Constructs a new instance
ExponentialMechanism(double, boolean) - Konstruktor für Klasse org.deidentifier.arx.dp.ExponentialMechanism: Constructs a new instance Note: *never* set deterministic to true in production.

F

FastIntDoubleMap - Klasse in org.deidentifier.arx.common: A very basic map using golden ratio hashing and linear probing.
FastIntDoubleMap(int) - Konstruktor für Klasse org.deidentifier.arx.common.FastIntDoubleMap: Creates a new instance
FAX_NUMBER - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier
featureIndices - Variable in Klasse org.deidentifier.arx.aggregates.classification.ClassificationDataSpecification: Indexes
featureMetadata - Variable in Klasse org.deidentifier.arx.aggregates.classification.ClassificationDataSpecification: Feature meta data
field(String) - Methode in Klasse org.deidentifier.arx.DataSelector
finalizeAll() - Methode in Klasse org.deidentifier.arx.framework.data.Dictionary: Finalizes all dimensions.
first() - Methode in Klasse org.deidentifier.arx.common.Groupify: Returns the first entry for iterations
FLASHAlgorithm - Klasse in org.deidentifier.arx.algorithm: This class provides a static method for instantiating the FLASH algorithm.
FLASHAlgorithm() - Konstruktor für Klasse org.deidentifier.arx.algorithm.FLASHAlgorithm
FLASHAlgorithmImpl - Klasse in org.deidentifier.arx.algorithm: This class implements the FLASH algorithm.
FLASHAlgorithmImpl(SolutionSpace<Long>, TransformationChecker, FLASHStrategy, FLASHConfiguration, int, int) - Konstruktor für Klasse org.deidentifier.arx.algorithm.FLASHAlgorithmImpl: Creates a new instance.
FLASHConfiguration - Klasse in org.deidentifier.arx.algorithm: This class parameterizes a phase the interwoven two-phase Flash algorithm.
FLASHPhaseConfiguration - Klasse in org.deidentifier.arx.algorithm: This class parameterizes a phase the interwoven two-phase Flash algorithm.
FLASHPhaseConfiguration(FLASHPhaseConfiguration.PhaseAnonymityProperty, DependentAction, DependentAction, DependentAction, DependentAction) - Konstruktor für Klasse org.deidentifier.arx.algorithm.FLASHPhaseConfiguration: Creates a configuration for an active phase.
FLASHPhaseConfiguration.PhaseAnonymityProperty - Enum in org.deidentifier.arx.algorithm: The main anonymity property.
FLASHStrategy - Klasse in org.deidentifier.arx.algorithm: This class implements a total order on all transformations in the search space.
FLASHStrategy(SolutionSpace<?>, GeneralizationHierarchy[]) - Konstruktor für Klasse org.deidentifier.arx.algorithm.FLASHStrategy: Creates a new instance.
floor(IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Floor
floorLowerBoundToInt(IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Returns floor of the lower bound to int
floorToInt(IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Returns floor() to int, if clearly defined
format(Double) - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
format(Long) - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
format(String) - Methode in Klasse org.deidentifier.arx.DataType.ARXOrderedString
format(String) - Methode in Klasse org.deidentifier.arx.DataType.ARXString
format(Date) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
format(Date, TimeZone) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate: Format with timezone
format(T) - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale: Format
format(T) - Methode in Klasse org.deidentifier.arx.DataType: Converts a value into a string.
Format() - Konstruktor für Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate.Format: Default format
forType(DataType<T>) - Statische Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction: Returns a builder for the given data type.
FRANCE - Enum-Konstante in Enumeration org.deidentifier.arx.ARXPopulationModel.Region
frequency - Variable in Klasse org.deidentifier.arx.aggregates.StatisticsContingencyTable.Entry: Associated frequency.
frequency - Variable in Klasse org.deidentifier.arx.aggregates.StatisticsFrequencyDistribution: The corresponding frequencies.
fromDouble(Double) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
fromDouble(Double) - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
fromDouble(Double) - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
fromDouble(Double) - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale: Converts a double into a value.
fromJHPL(int) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Internal method that adds the offset
fromJHPL(int[]) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Internal method that adds the offsets
FULFILLED - Enum-Konstante in Enumeration org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution.PrivacyCondition.State
FULL - Enum-Konstante in Enumeration org.deidentifier.arx.ARXConfiguration.Monotonicity: Fully monotonic
function - Variable in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased: The default aggregate function, might be null.

G

generalization - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer

The states.

GeneralizationHierarchy - Klasse in org.deidentifier.arx.framework.data

The class GeneralizationHierarchy.

GeneralizationHierarchy(String, String[][], int, Dictionary) - Konstruktor für Klasse org.deidentifier.arx.framework.data.GeneralizationHierarchy

Creates a new generalization hierarchy.

generalize(String, int) - Methode in Klasse org.deidentifier.arx.DataGeneralizationScheme

Defines a specific generalization level

generalize(String, DataGeneralizationScheme.GeneralizationDegree) - Methode in Klasse org.deidentifier.arx.DataGeneralizationScheme

Defines a specific generalization degree

generalize(DataGeneralizationScheme.GeneralizationDegree) - Methode in Klasse org.deidentifier.arx.DataGeneralizationScheme

Defines a specific generalization degree

GeneticAlgorithm - Klasse in org.deidentifier.arx.algorithm

Implementation of the genetic algorithm described in "Expanding Access to Large-Scale Genomic Data While Promoting Privacy: A Game Theoretic Approach" by Wan et al.

GeneticAlgorithm(SolutionSpace<?>, TransformationChecker, int, double, boolean, double, double, int, double, int, double, int, int) - Konstruktor für Klasse org.deidentifier.arx.algorithm.GeneticAlgorithm

Creates a new instance

GeneticAlgorithmSubpopulation - Klasse in org.deidentifier.arx.algorithm

Represents a subpopulation.

GeneticAlgorithmSubpopulation() - Konstruktor für Klasse org.deidentifier.arx.algorithm.GeneticAlgorithmSubpopulation

Default constructor

GeneticAlgorithmSubpopulation(GeneticAlgorithmSubpopulation) - Konstruktor für Klasse org.deidentifier.arx.algorithm.GeneticAlgorithmSubpopulation

Constructor used to create an identical copy

GEOGRAPHIC_SUBDIVISION - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier

GEOMETRIC_MEAN - Enum-Konstante in Enumeration org.deidentifier.arx.metric.Metric.AggregateFunction

Geometric mean: To handle zero values while not violating guarantees required for pruning based on lower bounds, 1d is added to every individual value and 1d is subtracted from the final result.

geq(double) - Methode in Klasse org.deidentifier.arx.DataSelector

geq(String) - Methode in Klasse org.deidentifier.arx.DataSelector

geq(Date) - Methode in Klasse org.deidentifier.arx.DataSelector

GERMANY - Enum-Konstante in Enumeration org.deidentifier.arx.ARXPopulationModel.Region

get(int) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.IntArrayDictionary

Returns the according entry.

get(int[]) - Methode in Klasse org.deidentifier.arx.framework.check.history.History

Retrieves a snapshot.

get(int, double) - Methode in Klasse org.deidentifier.arx.common.FastIntDoubleMap

Returns the associated value, default if not found

get(int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix

Returns the specified value

get(int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset

get(HierarchyBuilderDate.Granularity) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate.Format

Returns the format for the given granularity

get(T) - Methode in Klasse org.deidentifier.arx.common.Groupify

Returns the matching entry, if any

getAbsoluteSuppressionLimit() - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

Returns the maximum number of allowed outliers.

getAbsoluteSuppressionLimit() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the absolute record suppression limit

getAccuracy() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification

Returns the resulting accuracy.

getAdjustedRanges() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased

Returns adjusted ranges.

getAdversaryCost() - Methode in Klasse org.deidentifier.arx.ARXCostBenefitConfiguration

Returns the amount of money needed by an attacker for trying to re-identify a single record

getAdversaryGain() - Methode in Klasse org.deidentifier.arx.ARXCostBenefitConfiguration

Returns the amount of money earned by an attacker for successfully re-identifying a single record

getAggregate() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensionalReduced

Override this to implement a variant.

getAggregate() - Methode in Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalArithmeticMean

getAggregate() - Methode in Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalGeometricMean

getAggregate() - Methode in Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalMax

getAggregate() - Methode in Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalSum

getAggregateFunction() - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns the aggregate function of a multi-dimensional metric, null otherwise.

getAggregateFunction() - Methode in Klasse org.deidentifier.arx.metric.MetricConfiguration

getAggregateFunction() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional

getAggregateFunction() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed

getAggregationFunctionsGeneralized() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional

Returns relevant aggregation functions

getAggregationFunctionsGeneralized() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricSingleDimensional

Returns relevant aggregation functions

getAggregationFunctionsNonGeneralized() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional

Returns relevant aggregation functions

getAggregationFunctionsNonGeneralized() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricSingleDimensional

Returns relevant aggregation functions

getAggregationIndicesGeneralized() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional

Returns the indicies of aggregated variables

getAggregationIndicesGeneralized() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricSingleDimensional

Returns the indicies of aggregated variables

getAggregationIndicesNonGeneralized() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional

Returns the indicies of aggregated variables

getAggregationIndicesNonGeneralized() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricSingleDimensional

Returns the indicies of aggregated variables

getAggregationInformation() - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

Returns data configuring microaggregation

getAggregationInformation() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional

Needed for microaggregation

getAggregationInformation() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricSingleDimensional

Needed for microaggregation

getAlgorithm() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the anonymization algorithm selected

getAliasName() - Methode in Klasse org.deidentifier.arx.io.ImportColumn

Gets the alias name.

getAligmentOrder() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased

Returns the alignment order.

getAlpha() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression

getAlphabetSize() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased

Returns properties about the attribute's domain.

getAmbiguity() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsQuality

Quality according to the "Ambiguity" model proposed in:

Goldberger, Tassa: "Efficient Anonymizations with Enhanced Utility" Trans Data Priv

getAnonymity() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode

Returns the anonymity property.

getAnonymityProperty() - Methode in Klasse org.deidentifier.arx.algorithm.FLASHPhaseConfiguration

Getter: The main anonymity property.

getApplicator() - Methode in Klasse org.deidentifier.arx.framework.check.TransformationChecker

Returns an associated transformation applicator

getArithmeticMean() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityMeasureColumnOriented

Returns an aggregate, or NaN if not available.

getArithmeticMean(boolean) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityMeasureColumnOriented

Returns an aggregate, or NaN if not available.

getArithmeticMeanAsDouble() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the mean

getArithmeticMeanAsString() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the mean

getArithmeticMeanAsValue() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the mean

getArray() - Methode in Klasse org.deidentifier.arx.DataSubset

Getter

getArray() - Methode in Klasse org.deidentifier.arx.framework.data.Data

Returns the data array.

getArray() - Methode in Klasse org.deidentifier.arx.framework.data.GeneralizationHierarchy

Returns the array.

getAssociatedInput() - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Returns the associated input handle, itself if there is none.

getAttribute() - Methode in Klasse org.deidentifier.arx.criteria.ExplicitPrivacyCriterion

Returns the associated sensitive attribute.

getAttributeLevelSquaredError() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsQuality

Attribute-level squared error

getAttributeMap() - Methode in Klasse org.deidentifier.arx.ARXLattice.Access

Accessor method

getAttributeName(int) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns the name of the specified column.

getAttributeName(int) - Methode in Klasse org.deidentifier.arx.DataHandleInput

getAttributeName(int) - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Method

getAttributeName(int) - Methode in Klasse org.deidentifier.arx.DataHandleOutput

getAttributeName(int) - Methode in Klasse org.deidentifier.arx.DataHandleSubset

getAttributeRisks() - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilder

Returns a class providing access to an analysis of potential quasi-identifiers using the concepts of alpha distinction and alpha separation.

getAttributeRisks() - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilderInterruptible

Returns a class providing access to an analysis of potential quasi-identifiers using the concepts of alpha distinction and alpha separation.

getAttributeRisks() - Methode in Klasse org.deidentifier.arx.risk.RiskModelAttributes

Returns the quasi-identifiers, sorted by risk

getAttributes() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsQuality

Returns a list of all attributes considered

getAttributes() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode

Returns the attributes.

getAttributeType(String) - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns the type defined for the attribute.

getAttributeWeight(String) - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the weight for the given attribute.

getAttributeWeights() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns all configured attribute weights.

getAUC() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification.ROCCurve

Returns the AUC

getAvailableLinebreaks() - Statische Methode in Klasse org.deidentifier.arx.io.CSVSyntax

Returns the available line breaks

getAvailableLowerRiskThresholds() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRiskDistribution

Returns the lower bounds (exclusive) of the intervals for the according data points.

getAvailableUpperRiskThresholds() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRiskDistribution

Returns the lower bounds (inclusive) of the intervals for the according data points.

getAverageClassSize() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsQuality

Quality according to the "AECS" model proposed in:

K.

getAverageClassSize() - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution

Returns the average class size

getAverageEquivalenceClassSize() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsEquivalenceClasses

Returns the maximal size of an equivalence class.

getAverageError() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification

Returns the average error, defined as avg(1d-probability-of-correct-result) for each classification event.

getAverageRisk() - Methode in Klasse org.deidentifier.arx.criteria.AverageReidentificationRisk

getAverageRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRisks

Returns the average re-identification risk

getAverageRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleSummary.RiskSummary

Returns the average risk

getAverageRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleWildcard

Returns the average risk

getAvgClassSize() - Methode in Klasse org.deidentifier.arx.risk.RiskModelHistogram

Returns a property of the class distribution

getB() - Methode in Klasse org.deidentifier.arx.criteria.BasicBLikeness

Returns the parameter beta.

getB() - Methode in Klasse org.deidentifier.arx.criteria.EnhancedBLikeness

Returns the parameter beta.

getBaseDataType(String) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns the base data type without generalization.

getBaseDataType(String) - Methode in Klasse org.deidentifier.arx.DataHandleInput

getBaseDataType(String) - Methode in Klasse org.deidentifier.arx.DataHandleInternal

getBeta() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

Returns the beta parameter of (k,b)-SDGS

getBeta() - Methode in Klasse org.deidentifier.arx.dp.ParameterCalculation

Returns k

getBinaryPhaseConfiguration() - Methode in Klasse org.deidentifier.arx.algorithm.FLASHConfiguration

Getter.

getBottom() - Methode in Klasse org.deidentifier.arx.ARXLattice

Returns the bottom node.

getBottom() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns the bottom transformation

getBottom() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray

Returns the bottom transformation

getBottom() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong

Returns the bottom transformation

getBottomCodingBound() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate

getBottomTopCodingFrom() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.Range

Bottom/top coding will start from this value.

getBrierScore() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification

Returns the brier score of the classifier trained on output data.

getBrierScore() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification.ROCCurve

Returns the Brier score.

getBrierSkillScore() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification

Returns the brier skill score, defined as 1-(brier output/brier input)

getBuckets() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.Distribution

Gets all buckets of the hash table.

getBuffer() - Methode in Klasse org.deidentifier.arx.framework.check.Transformer

Gets the buffer.

getC() - Methode in Klasse org.deidentifier.arx.criteria.RecursiveCLDiversity

Returns the parameter c.

getCache() - Methode in Klasse org.deidentifier.arx.metric.MetricEntropy

getCardinalities() - Methode in Klasse org.deidentifier.arx.metric.MetricEntropy

getCardinalities() - Methode in Klasse org.deidentifier.arx.metric.v2.Cardinalities

Returns the cardinalities of the given value.

getCells() - Methode in Klasse org.deidentifier.arx.metric.MetricNMPrecision

Returns the number of cells.

getCells() - Methode in Klasse org.deidentifier.arx.metric.MetricPrecision

Returns the number of cells.

getCharset() - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationCSV

Returns the charset of the CSV file.

getCheckCount() - Methode in Klasse org.deidentifier.arx.algorithm.AbstractAlgorithm

Return stuff for progress monitoring

getCheckLimit() - Methode in Klasse org.deidentifier.arx.algorithm.AbstractAlgorithm

Return stuff for progress monitoring

getClassBasedPrivacyModelsAsArray() - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

Returns all class-based criteria (except k-anonymity) as an array.

getClassificationPerformance(String[], String, ARXClassificationConfiguration<?>) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Creates a new set of statistics for the given classification task

getClassificationPerformance(String[], String, ARXClassificationConfiguration<?>) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Creates a new set of statistics for the given classification task

getClassificationPerformance(String[], String, ARXClassificationConfiguration<?>, ARXFeatureScaling) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Creates a new set of statistics for the given classification task

getClassificationPerformance(String[], String, ARXClassificationConfiguration<?>, ARXFeatureScaling) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Creates a new set of statistics for the given classification task

getClassificationPerformance(String, ARXClassificationConfiguration<?>) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Creates a new set of statistics for the given classification task

getClassificationPerformance(String, ARXClassificationConfiguration<?>) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Creates a new set of statistics for the given classification task

getClassValues() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification

Returns the set of class attributes

getColdQIs() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation

getColdQIsDomainSizes() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation

getColdQIsFunctions() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation

getColumn() - Methode in Klasse org.deidentifier.arx.risk.HIPAAIdentifierMatch

The column name where the identifier was found

getColumnDatatypes() - Methode in Klasse org.deidentifier.arx.io.ImportAdapter

Returns an array with datatypes of columns that should be imported.

getColumnIndexOf(String) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns the index of the given attribute, -1 if it is not in the header.

getColumnIndexOf(String) - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Delegate

getColumns() - Methode in Klasse org.deidentifier.arx.framework.data.Data

Returns the set of columns from the input data set stored in this object.

getColumns() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation

getColumns() - Methode in Klasse org.deidentifier.arx.io.ImportConfiguration

Returns all added columns.

getColumnsAsNumbers(DataHandle, DataHandle, String[][], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Returns a columns from the input and output dataset converted to numbers

getColumnsAsNumbers(DataHandle, DataHandle, String[][], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Returns a columns from the input and output dataset converted to numbers

getColumnsAsNumbers(DataHandle, DataHandle, String[][], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Returns a columns from the input and output dataset converted to numbers

getColumnsAsNumbers(DataHandle, DataHandle, String[][], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Returns a columns from the input and output dataset converted to numbers

getColumnsAsNumbers(DataHandle, DataHandle, String[][], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Returns a columns from the input and output dataset converted to numbers

getColumnsAsNumbers(DataHandle, DataHandle, String[][], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Returns a columns from the input and output dataset converted to numbers

getColumnsAsNumbers(DataHandle, DataHandle, String[][], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Returns a columns from the input and output dataset converted to numbers

getColumnsAsNumbers(DataHandle, DataHandle, String[][], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Returns a columns from the input and output dataset converted to numbers

getColumnsAsNumbers(DataHandle, DataHandle, String[][], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Returns a columns from the input and output dataset converted to numbers

getColumnToDataType() - Methode in Klasse org.deidentifier.arx.DataHandle

Generates an array of data types.

getColumnToDataType() - Methode in Klasse org.deidentifier.arx.DataHandleInput

getColumnToDataType() - Methode in Klasse org.deidentifier.arx.DataHandleOutput

Creates the data type array.

getColumnToDataType() - Methode in Klasse org.deidentifier.arx.DataHandleSubset

getColumnToSuppressionStatus(ARXConfiguration, DataDefinition) - Methode in Klasse org.deidentifier.arx.DataHandleOutput

Returns the suppression status for each attribute

getComparator() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderOrderBased

Returns the comparator.

getConfidence() - Methode in Klasse org.deidentifier.arx.risk.HIPAAIdentifierMatch

The confidence of the discovery, or null if the match type is ATTRIBUTE_NAME

getConfig() - Methode in Klasse org.deidentifier.arx.io.ImportAdapter

Returns the configuration used by the import adapter.

getConfiguration() - Methode in Klasse org.deidentifier.arx.ARXResult

Returns the configuration used.

getConfiguration() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutor

Returns the current configuration

getConfiguration() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack

Returns the current configuration

getConfiguration() - Methode in Klasse org.deidentifier.arx.DataHandle

Returns the ARXConfiguration that is currently being used, null if this is an input handle

getConfiguration() - Methode in Klasse org.deidentifier.arx.DataHandleInput

getConfiguration() - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Returns the associated configuration, if any.

getConfiguration() - Methode in Klasse org.deidentifier.arx.DataHandleOutput

getConfiguration() - Methode in Klasse org.deidentifier.arx.DataHandleSubset

getConfiguration() - Methode in Klasse org.deidentifier.arx.DataSource

Returns the configuration.

getConfiguration() - Methode in Klasse org.deidentifier.arx.framework.check.TransformationChecker

Returns the configuration

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDHeight

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPotentiallyPrecomputed

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPrecomputed

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropy

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPotentiallyPrecomputed

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropy

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropyPotentiallyPrecomputed

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropyPrecomputed

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropy

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPotentiallyPrecomputed

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPrecomputed

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDPrecision

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDStatic

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDAECS

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDClassification

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDDiscernability

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMAmbiguity

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMDiscernability

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMKLDivergence

Returns the configuration of this metric.

getConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMPublisherPayout

Returns the configuration of this metric.

getConnection() - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationJDBC

getContainsHeader() - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationCSV

Gets the contains header.

getContainsHeader() - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationExcel

getContingencyTable(int, boolean, int, boolean) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns a contingency table for the given columns.

getContingencyTable(int, boolean, int, boolean) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns a contingency table for the given columns.

getContingencyTable(int, int) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns a contingency table for the given columns.

getContingencyTable(int, int) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns a contingency table for the given columns.

getContingencyTable(int, int, boolean, int, int, boolean) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns a contingency table for the given columns.

getContingencyTable(int, int, boolean, int, int, boolean) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns a contingency table for the given columns.

getContingencyTable(int, int, int, int) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns a contingency table for the given columns.

getContingencyTable(int, int, int, int) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns a contingency table for the given columns.

getContingencyTable(int, int, String[][], int, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns a contingency table for the given columns.

getContingencyTable(int, int, AttributeType.Hierarchy, int, int, AttributeType.Hierarchy) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns a contingency table for the given columns.

getContingencyTable(int, String[][], int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns a contingency table for the given columns.

getContingencyTable(int, AttributeType.Hierarchy, int, AttributeType.Hierarchy) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns a contingency table for the given columns.

getCostBenefitConfiguration() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the cost/benefit configuration

getCostBenefitConfiguration() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMPublisherPayout

Returns the cost/benefit configuration

getCount() - Methode in Klasse org.deidentifier.arx.common.Groupify.Group

The count

getD() - Methode in Klasse org.deidentifier.arx.criteria.DDisclosurePrivacy

Returns the parameter delta.

getData() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased

Returns the data array.

getData() - Methode in Klasse org.deidentifier.arx.framework.lattice.Transformation

Returns associated data

getData(Long) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong

Returns data

getData(SolutionSpaceIntArray.IntArrayWrapper) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray

Returns data

getData(T) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns data

getDataAnalyzed() - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

Returns the input data that will be analyzed.

getDataDefinition() - Methode in Klasse org.deidentifier.arx.ARXResult

Returns the data definition

getDataDefinition() - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

Returns the data definitions

getDataGeneralized() - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

Returns the input data that will be generalized.

getDataInput() - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

Returns the input data.

getDataLength() - Methode in Klasse org.deidentifier.arx.framework.data.Data

Returns the number of rows.

getDataSubset() - Methode in Klasse org.deidentifier.arx.criteria.DPresence

getDataSubset() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

getDataSubset() - Methode in Klasse org.deidentifier.arx.criteria.KMap

getDataSubset() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

If a privacy model uses a data subset, it must overwrite this method

getDataSubset() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalist

getDataSubset() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalistNoAttack

getDataSubset() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutor

getDataSubset() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack

getDataType() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased

Returns the data type.

getDataType() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased

getDataType() - Methode in Klasse org.deidentifier.arx.io.ImportColumn

Gets the data type.

getDataType(String) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsQuality

Returns the data type for the attribute

getDataType(String) - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns the data type for the given column.

getDataType(String) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns the according data type.

getDataType(String) - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Method

getDataType(String) - Methode in Klasse org.deidentifier.arx.DataHandleOutput

getDataType(String) - Methode in Klasse org.deidentifier.arx.DataHandleSubset

getDate(int, int) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a date/time value from the specified cell.

getDecayExponent() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression

getDefaultAccuracy() - Statische Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration

Default value.

getDefaultDeterministic() - Statische Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration

Default value.

getDefaultFormat() - Methode in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity

Returns the default format

getDefaultFunction() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased

Returns the default aggregate function.

getDefaultIterationsPerTry() - Statische Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration

Default value.

getDefaultIterationsTotal() - Statische Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration

Default value.

getDefaultMetric() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed

Returns the default variant.

getDefaultStartValues() - Statische Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration

Default value.

getDefaultTimePerTry() - Statische Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration

Default value.

getDefaultTimeTotal() - Statische Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration

Default value.

getDefinition() - Methode in Klasse org.deidentifier.arx.Data

Returns the data definition.

getDefinition() - Methode in Klasse org.deidentifier.arx.DataHandle

Returns the data definition.

getDefinition() - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Method

getDelimiter() - Methode in Klasse org.deidentifier.arx.io.CSVSyntax

Gets the delimiter.

getDelimiter() - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationCSV

Gets the delimiter.

getDelta() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

Returns the delta parameter of (e,d)-DP

getDerivedK() - Methode in Klasse org.deidentifier.arx.criteria.KMap

Returns the derived parameter k.

getDescription() - Methode in Klasse org.deidentifier.arx.DataType.ARXDate

getDescription() - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal

getDescription() - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger

getDescription() - Methode in Klasse org.deidentifier.arx.DataType.ARXOrderedString

getDescription() - Methode in Klasse org.deidentifier.arx.DataType.ARXString

getDescription() - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale

Description

getDescription() - Methode in Klasse org.deidentifier.arx.DataType

Returns a description of the data type.

getDescription() - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns a description of this metric.

getDescription(Metric<?>) - Statische Methode in Klasse org.deidentifier.arx.metric.Metric

Returns a description for the given metric, if there is any, null otherwise.

getDeserializationContext() - Statische Methode in Klasse org.deidentifier.arx.ARXLattice

Returns the deserialization context.

getDictionary() - Methode in Klasse org.deidentifier.arx.framework.data.Data

Returns the dictionary.

getDictionarySensFreq() - Methode in Klasse org.deidentifier.arx.framework.check.history.History

Method needed for benchmarking.

getDictionarySensValue() - Methode in Klasse org.deidentifier.arx.framework.check.history.History

Method needed for benchmarking.

getDimension(String) - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode

Returns the index of an attribute.

getDimension(String) - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics.Step

Returns the index of an attribute.

getDimensions() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional

Returns the number of dimensions.

getDimensionsAggregated() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional

Returns the number of dimensions.

getDimensionsGeneralized() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional

Returns the number of dimensions.

getDiscernibility() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsQuality

Quality according to the "Discernibility" model proposed in:

R.

getDistinction() - Methode in Klasse org.deidentifier.arx.risk.RiskModelAttributes.QuasiIdentifierRisk

Returns the alpha distinction parameter of this quasi-identifier

getDistinctValues() - Methode in Klasse org.deidentifier.arx.framework.data.GeneralizationHierarchy

Returns the number of distinct values.

getDistinctValues(int) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns the distinct set of data items from the given column.

getDistinctValues(int) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns the distinct set of data items from the given column.

getDistinctValues(int) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns an array containing the distinct values in the given column.

getDistinctValues(int) - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Delegate

getDistinctValues(int) - Methode in Klasse org.deidentifier.arx.framework.data.GeneralizationHierarchy

Returns the distinct values.

getDistinctValues(int, boolean, DataHandleInternal.InterruptHandler) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns the distinct values.

getDistinctValues(int, boolean, DataHandleInternal.InterruptHandler) - Methode in Klasse org.deidentifier.arx.DataHandleInput

getDistinctValues(int, boolean, DataHandleInternal.InterruptHandler) - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Method

getDistinctValues(int, boolean, DataHandleInternal.InterruptHandler) - Methode in Klasse org.deidentifier.arx.DataHandleOutput

Gets the distinct values.

getDistinctValues(int, boolean, DataHandleInternal.InterruptHandler) - Methode in Klasse org.deidentifier.arx.DataHandleSubset

getDistinctValues(int, DataHandleInternal.InterruptHandler) - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Method

getDistinctValuesOrdered(int) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns an ordered list of the distinct set of data items from the given column.

getDistinctValuesOrdered(int) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns an ordered list of the distinct set of data items from the given column.

getDistinctValuesOrdered(int, boolean) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns an ordered list of the distinct set of data items from the given column.

getDistinctValuesOrdered(int, boolean) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns an ordered list of the distinct set of data items from the given column.

getDistinctValuesOrdered(int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns an ordered list of the distinct set of data items from the given column.

getDistinctValuesOrdered(int, AttributeType.Hierarchy) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns an ordered list of the distinct set of data items from the given column.

getDistribution(String) - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

Returns the distribution of the given sensitive attribute in the original dataset.

getDistribution(String) - Methode in Klasse org.deidentifier.arx.framework.data.DataManagerSubset

getDistribution(DataMatrix, int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

Returns the distribution of the attribute in the data array at the given index.

getDistribution(DataMatrix, int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataManagerSubset

getDMax() - Methode in Klasse org.deidentifier.arx.criteria.DPresence

Returns dMax.

getDMin() - Methode in Klasse org.deidentifier.arx.criteria.DPresence

Returns dMin.

getDomainShares() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Returns the domain shares

getDomainShares() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Returns the domain shares

getDomainShares() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Returns the domain shares

getDomainShares() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Returns the domain shares

getDomainShares() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Returns the domain shares

getDomainShares() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Returns the domain shares

getDomainShares() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Returns the domain shares

getDomainShares() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Returns the domain shares

getDomainShares() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Returns the domain shares

getDomainShares() - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

Returns the domain shares for all generalized quasi-identifiers

getDomainSharesReliable() - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

Returns the reliable domain shares for all generalized quasi-identifiers

getDomainSize() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased

Returns properties about the attribute's domain.

getDomainSize() - Methode in Schnittstelle org.deidentifier.arx.aggregates.quality.QualityDomainShare

Returns the domain size

getDomainSize() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityDomainShareRaw

getDomainSize() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityDomainShareRedaction

getDomainSize() - Methode in Schnittstelle org.deidentifier.arx.metric.v2.DomainShare

Returns the size of the domain.

getDomainSize() - Methode in Klasse org.deidentifier.arx.metric.v2.DomainShareInterval

Returns the size of the domain.

getDomainSize() - Methode in Klasse org.deidentifier.arx.metric.v2.DomainShareMaterialized

Returns the size of the domain.

getDomainSize() - Methode in Klasse org.deidentifier.arx.metric.v2.DomainShareRedaction

Returns the size of the domain.

getDouble(int, int) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a double value from the specified cell.

getDPSearchBudget() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the privacy budget to use for the data-dependent differential privacy search algorithm.

getDuration() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics

Returns the duration of the process

getEffectiveHighestRisk() - Methode in Klasse org.deidentifier.arx.criteria.AverageReidentificationRisk

Returns the effective highest risk, i.e. the threshold that is actually being used by the software.

getEffectiveRiskThreshold() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleSummary.RiskSummary

Returns the effective threshold, which may differ from user-specified parameters due to rounding issues.

getEffectiveRiskThreshold() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleWildcard

Returns the effective risk threshold, which may differ from the specified risk threshold due to rounding issues

getEffectiveRiskThreshold(double) - Statische Methode in Klasse org.deidentifier.arx.reliability.ParameterTranslation

Returns the effective risk threshold

getElement() - Methode in Klasse org.deidentifier.arx.common.Groupify.Group

The element

getElements() - Methode in Klasse org.deidentifier.arx.DataType.ARXOrderedString

Returns all elements backing this datatype.

getEncodedValue(int, int, boolean) - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Gets the encoded value.

getEntropyBasedInformationLoss(Transformation<?>, HashGroupifyEntry, DomainShare[], DataAggregationInformation, double) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss

Implements the entropy-based IL model.

getEntry(int[]) - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupify

Returns the entry for the given tuple

getEpsilon() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

Returns the epsilon parameter of (e,d)-DP

getEquivalenceClassModel() - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilder

Returns a model of the equivalence classes in this data set

getEquivalenceClassModel() - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilderInterruptible

Returns a model of the equivalence classes in this data set

getEquivalenceClassStatistics() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns statistics about the equivalence classes.

getEquivalenceClassStatistics() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns statistics about the equivalence classes.

getError() - Methode in Klasse org.deidentifier.arx.reliability.IntervalDouble

Returns the range of this interval

getError(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionArithmeticMean

getError(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionGeometricMean

getError(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionInterval

getError(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionMedian

getError(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionMode

getError(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionModeWithDistributionFallback

getError(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionSet

getError(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction

Returns the normalized error induced by aggregation.

getEscape() - Methode in Klasse org.deidentifier.arx.io.CSVSyntax

Gets the escape.

getEscape() - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationCSV

Gets the escape.

getEstimatedJournalistRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRisks

Return journalist risk threshold, 1 if there is none

getEstimatedMarketerRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRisks

Return marketer risk threshold, 1 if there is none

getEstimatedProsecutorRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRisks

Return prosecutor risk threshold, 1 if there is none

getEstimator() - Methode in Klasse org.deidentifier.arx.criteria.EntropyLDiversity

Returns the entropy estimator used by this instance

getEstimator() - Methode in Klasse org.deidentifier.arx.criteria.KMap

Returns the specified estimator.

getExampleFormats() - Methode in Klasse org.deidentifier.arx.DataType.DataTypeDescription

Returns a list of example formats.

getExcelFileType() - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationExcel

getExpectedAdversaryPayout(double) - Methode in Klasse org.deidentifier.arx.risk.RiskModelCostBenefit

Returns the expected adversary payout

getExpectedPublisherBenefit(double) - Methode in Klasse org.deidentifier.arx.risk.RiskModelCostBenefit

Returns the expected information loss

getExpectedPublisherPayout(double, double) - Methode in Klasse org.deidentifier.arx.risk.RiskModelCostBenefit

Returns the expected publisher payout

getFactor() - Methode in Enumeration org.deidentifier.arx.DataGeneralizationScheme.GeneralizationDegree

Returns the factor

getFalsePositiveRate() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification.ROCCurve

Returns false-positive rates for all cut-off points

getFeatureIndices(DataHandleInternal, String[], String) - Methode in Klasse org.deidentifier.arx.aggregates.classification.ClassificationDataSpecification

Returns the indexes of all features

getFeatureMetadata(DataHandleInternal, int[], ARXFeatureScaling) - Methode in Klasse org.deidentifier.arx.aggregates.classification.ClassificationDataSpecification

Returns feature metadata

getFileLocation() - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationFile

getFirstEntry() - Methode in Klasse org.deidentifier.arx.framework.check.groupify.MetaHashGroupify

Returns the first entry

getFirstEquivalenceClass() - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupify

Returns the first entry

getFloat(int, int) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a float value from the specified cell.

getFormat() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate

getFormat() - Methode in Klasse org.deidentifier.arx.DataType.ARXDate

getFormat() - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal

getFormat() - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger

getFormat() - Methode in Klasse org.deidentifier.arx.DataType.ARXOrderedString

getFormat() - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithFormat

Format

getFractionOfRecordsAffectedByHighestRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRisks

Returns the fraction of records affected by the highest re-identification risk

getFractionOfRecordsAffectedByLowestRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRisks

Returns the fraction of records affected by the lowest re-identification risk

getFractionOfRecordsAtCumulativeRisk(double) - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRiskDistribution

Returns the fraction of records with a risk lower than or equal to the given threshold.

getFractionOfRecordsAtRisk(double) - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRiskDistribution

Returns the fraction of records with a risk which equals the given threshold.

getFractionOfRecordsForCumulativeRiskThresholds() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRiskDistribution

Returns an array of cumulative risks for the risk thresholds

getFractionOfRecordsForRiskThresholds() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRiskDistribution

Returns an array of risks for the risk thresholds

getFractionOfRecordsInClassesOfSize(int) - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution

Returns the fraction of tuples that are in classes of the given size

getFractionOfUniqueRecords() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleUniqueness

Returns the fraction of records affected by the highest re-identification risk

getFractionOfUniqueTuples(RiskModelPopulationUniqueness.PopulationUniquenessModel) - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Estimated number of unique tuples in the population according to the given model

getFractionOfUniqueTuplesDankar() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Estimated number of unique tuples in the population according to Dankar's decision rule

getFractionOfUniqueTuplesDankar(boolean) - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Estimated number of unique tuples in the population according to Dankar's decision rule

getFractionOfUniqueTuplesPitman() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Estimated number of unique tuples in the population according to Pitman's statistical model

getFractionOfUniqueTuplesSNB() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Estimated number of unique tuples in the population according to the SNB statistical model

getFractionOfUniqueTuplesZayatz() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Estimated number of unique tuples in the population according to Zayatz's statistical model

getFrequencyDistribution(int) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns a frequency distribution for the values in the given column.

getFrequencyDistribution(int) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns a frequency distribution for the values in the given column.

getFrequencyDistribution(int, boolean) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns a frequency distribution for the values in the given column.

getFrequencyDistribution(int, boolean) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns a frequency distribution for the values in the given column.

getFrequencyDistribution(int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns a frequency distribution for the values in the given column.

getFrequencyDistribution(int, AttributeType.Hierarchy) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns a frequency distribution for the values in the given column.

getFunction() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased.Group

Returns the function.

getFunction() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.Interval

Returns the function.

getFunction() - Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction

Returns the aggregate function.

getGeneralization() - Methode in Klasse org.deidentifier.arx.framework.lattice.Transformation

Returns the generalization

getGeneralization(String) - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode

Returns the generalization for the attribute.

getGeneralization(String) - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics.Step

Returns the generalization for the attribute.

getGeneralization(String) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns the generalization level for the attribute.

getGeneralization(String) - Methode in Klasse org.deidentifier.arx.DataHandleInput

getGeneralization(String) - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Method

getGeneralization(String) - Methode in Klasse org.deidentifier.arx.DataHandleOutput

getGeneralization(String) - Methode in Klasse org.deidentifier.arx.DataHandleSubset

getGeneralizationDegree() - Methode in Klasse org.deidentifier.arx.DataGeneralizationScheme

Returns the overall generalization degree, if any

getGeneralizationFactor() - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns the factor used weight generalized values.

getGeneralizationFactor() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed

getGeneralizationFactor() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss

getGeneralizationFactor() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPotentiallyPrecomputed

getGeneralizationIntensity() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsQuality

Quality according to the "Precision" model proposed in:

L.

getGeneralizationLevel(String, DataDefinition) - Methode in Klasse org.deidentifier.arx.DataGeneralizationScheme

Returns a generalization level as defined by this class

getGeneralizationScheme() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

Returns the defined generalization scheme

getGeneralizationSuppressionFactor() - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns the factor weighting generalization and suppression.

getGeneralizationSuppressionFactor() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed

getGeneralizationSuppressionFactor() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss

getGeneralizationSuppressionFactor() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPotentiallyPrecomputed

getGeneticAlgorithmCrossoverFraction() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the fraction of individuals crossed over

getGeneticAlgorithmDeterministic() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Deterministic execution

getGeneticAlgorithmEliteFraction() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the size of the elite group

getGeneticAlgorithmImmigrationFraction() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the fraction to immigrate

getGeneticAlgorithmImmigrationInterval() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the immigration interval

getGeneticAlgorithmIterations() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the genetic algorithm iterations

getGeneticAlgorithmMutationProbability() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the mutation probability

getGeneticAlgorithmProductionFraction() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the production fraction

getGeneticAlgorithmSubpopulationSize() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the size of the sub-population

getGeometricMean() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityMeasureColumnOriented

Returns an aggregate, or NaN if not available.

getGeometricMean(boolean) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityMeasureColumnOriented

Returns an aggregate, or NaN if not available.

getGeometricMeanAsDouble() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the geometric mean

getGeometricMeanAsString() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the geometric mean

getGeometricMeanAsValue() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the geometric mean

getGlobalOptimum() - Methode in Klasse org.deidentifier.arx.algorithm.AbstractAlgorithm

Returns the global optimum.

getGlobalOptimum() - Methode in Klasse org.deidentifier.arx.ARXResult

Gets the global optimum.

getGranularities() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate

Returns the granularities

getGranularity() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsQuality

Quality according to the "Loss" model proposed in:

Iyengar, V.: "Transforming data to satisfy privacy constraints" Proc Int Conf Knowl Disc Data Mining, p. 279-288 (2002)

getGroupedInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Returns grouped input

getGroupedInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Returns grouped input

getGroupedInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Returns grouped input

getGroupedInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Returns grouped input

getGroupedInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Returns grouped input

getGroupedInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Returns grouped input

getGroupedInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Returns grouped input

getGroupedInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Returns grouped input

getGroupedInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Returns grouped input

getGroupedOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Returns grouped output

getGroupedOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Returns grouped output

getGroupedOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Returns grouped output

getGroupedOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Returns grouped output

getGroupedOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Returns grouped output

getGroupedOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Returns grouped output

getGroupedOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Returns grouped output

getGroupedOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Returns grouped output

getGroupedOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Returns grouped output

getGroups() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased.Level

Returns the list.

getGsFactor() - Methode in Klasse org.deidentifier.arx.metric.MetricConfiguration

getHandle() - Methode in Klasse org.deidentifier.arx.Data

Returns a data handle.

getHandle() - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Returns the underlying handle.

getHashcode() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.IntArrayDictionaryEntry

Gets the hashcode of this class.

getHead() - Methode in Klasse org.deidentifier.arx.framework.check.history.MRUCache

Gets the first.

getHeader() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics.Step

Maps attribute name to position

getHeader() - Methode in Klasse org.deidentifier.arx.framework.check.TransformationChecker

Returns the header of generalized data

getHeader() - Methode in Klasse org.deidentifier.arx.framework.data.Data

Returns the header.

getHeader() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation

getHeader() - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

The original data header.

getHeader() - Methode in Klasse org.deidentifier.arx.io.ImportAdapter

Returns the header.

getHeaderMap() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode

Returns the headermap

getHeight() - Methode in Klasse org.deidentifier.arx.framework.data.GeneralizationHierarchy

Returns the height of the hierarchy.

getHeights() - Methode in Klasse org.deidentifier.arx.metric.MetricNMPrecision

getHeights() - Methode in Klasse org.deidentifier.arx.metric.MetricPrecision

getHeuristicSearchStepLimit(ARXConfiguration.SearchStepSemantics, int) - Methode in Klasse org.deidentifier.arx.ARXConfiguration

The heuristic search algorithm will terminate after the returned number of steps.

getHeuristicSearchThreshold() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

When the size of the solution space exceeds the returned number of transformations, ARX will use a heuristic search strategy.

getHeuristicSearchTimeLimit() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

The heuristic search algorithm will terminate after the returned number of milliseconds.

getHierachiesHeights() - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

Returns the heights of the hierarchies used for generalizing quasi-identifiers

getHierarchies() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Returns the hierarchies

getHierarchies() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Returns the hierarchies

getHierarchies() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Returns the hierarchies

getHierarchies() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Returns the hierarchies

getHierarchies() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Returns the hierarchies

getHierarchies() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Returns the hierarchies

getHierarchies() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Returns the hierarchies

getHierarchies() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Returns the hierarchies

getHierarchies() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Returns the hierarchies

getHierarchies() - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

Returns the generalization hierarchiesQI.

getHierarchies() - Methode in Klasse org.deidentifier.arx.metric.MetricEntropy

getHierarchiesMaxLevels() - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

Returns the maximum levels for the generalizaiton.

getHierarchiesMinLevels() - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

Returns the minimum levels for the generalizations.

getHierarchy() - Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy.DefaultHierarchy

getHierarchy() - Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy

Returns the hierarchy as a two-dimensional string array.

getHierarchy() - Methode in Klasse org.deidentifier.arx.criteria.HierarchicalDistanceTCloseness

Returns the hierarchy backing the EMD calculations.

getHierarchy() - Methode in Klasse org.deidentifier.arx.io.CSVHierarchyInput

Returns the hierarchy.

getHierarchy(String) - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns the according hierarchy as String array.

getHierarchyBuilder(String) - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns the associated builder, if any.

getHierarchyObject(String) - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns the according hierarchy object.

getHighestRisk() - Methode in Klasse org.deidentifier.arx.criteria.AverageReidentificationRisk

Returns the threshold set by the user.

getHighestRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRisks

Returns the highest re-identification risk of any records in the data set

getHighestRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleSummary.RiskSummary

Maximum probability of re-identification

getHighestRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleWildcard

Returns the highest risk

getHighestScore() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode

Returns the highest score.

getHighestScore() - Methode in Klasse org.deidentifier.arx.ARXLattice

Returns the highest score.

getHIPAAIdentifiers() - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilder

Returns the a set of potential HIPAA identifiers.

getHIPAAIdentifiers() - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilderInterruptible

Returns a class providing access to the identifier HIPAA identifiers.

getHIPAAIdentifiers(double) - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilder

Returns the a set of potential HIPAA identifiers.

getHistogram() - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution

Returns a set of classes as an input for the risk model

getHistogram() - Methode in Klasse org.deidentifier.arx.risk.RiskModelHistogram

Returns class-size[idx], class-count[idx+1],... ordered ascending by class size

getHistogram() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

getHistogram() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRisks

getHistogram() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleUniqueness

getHistory() - Methode in Klasse org.deidentifier.arx.framework.check.TransformationChecker

Returns the checkers history, if any.

getHistorySize() - Methode in Klasse org.deidentifier.arx.ARXAnonymizer

Returns the maximum number of snapshots allowed to store in the history.

gethMargin() - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle

getHotQIsGeneralized() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation

getHotQIsGeneralizedDomainSizes() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation

getHotQIsGeneralizedFunctions() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation

getHotQIsNotGeneralized() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation

getHotQIsNotGeneralizedDomainSizes() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation

getHotQIsNotGeneralizedFunctions() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation

getHotThreshold() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation

getId() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode

Returns a node's internal id.

getIdentifier() - Methode in Klasse org.deidentifier.arx.framework.lattice.Transformation

Returns the id

getIdentifier() - Methode in Klasse org.deidentifier.arx.risk.HIPAAIdentifierMatch

The identifier which was found

getIdentifier() - Methode in Klasse org.deidentifier.arx.risk.RiskModelAttributes.QuasiIdentifierRisk

Returns the attributes in this quasi-identifier

getIdentifyingAttributes() - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns the direct identifiers.

getIndex() - Methode in Schnittstelle org.deidentifier.arx.io.IImportColumnIndexed

Returns the index this column refers to.

getIndex() - Methode in Klasse org.deidentifier.arx.io.ImportColumnIndexed

getIndex() - Methode in Klasse org.deidentifier.arx.io.ImportColumnJDBC

getIndexesToImport() - Methode in Klasse org.deidentifier.arx.io.ImportAdapterCSV

Returns an array with indexes of columns that should be imported Only columns listed within

Ungültige Referenz

#column

will be imported.

getIndexesToImport() - Methode in Klasse org.deidentifier.arx.io.ImportAdapterExcel

Returns an array with indexes of columns that should be imported Only columns listed within

Ungültige Referenz

#column

will be imported.

getIndexesToImport() - Methode in Klasse org.deidentifier.arx.io.ImportAdapterJDBC

Returns an array with indexes of columns that should be imported Only columns listed within

Ungültige Referenz

#column

will be imported.

getIndexOf(String) - Methode in Klasse org.deidentifier.arx.framework.data.Data

Returns the index of the given attribute.

getIndices() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Returns relevant indices

getIndices() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Returns relevant indices

getIndices() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Returns relevant indices

getIndices() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Returns relevant indices

getIndices() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Returns relevant indices

getIndices() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Returns relevant indices

getIndices() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Returns relevant indices

getIndices() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Returns relevant indices

getIndices() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Returns relevant indices

getIndividual(int) - Methode in Klasse org.deidentifier.arx.algorithm.GeneticAlgorithmSubpopulation

Gets the individual at index.

getIndividuals() - Methode in Klasse org.deidentifier.arx.algorithm.GeneticAlgorithmSubpopulation

Return the list containing the individuals

getInformationLoss() - Methode in Klasse org.deidentifier.arx.framework.lattice.Transformation

Returns the information loss

getInformationLoss() - Methode in Klasse org.deidentifier.arx.metric.InformationLossWithBound

getInformationLoss(Long) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong

Returns the information loss

getInformationLoss(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction

This will return the normalized number of aggregated values in range [1/#distinct-values, 1].

getInformationLoss(SolutionSpaceIntArray.IntArrayWrapper) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray

Returns the information loss

getInformationLoss(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.Metric

Evaluates the metric for the given node.

getInformationLoss(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns the information loss that would be induced by suppressing the given entry.

getInformationLoss(T) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns the information loss

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.Metric

Evaluates the metric for the given node.

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricAECS

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricDM

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricDMStar

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricEntropy

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricHeight

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricNMEntropy

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricNMPrecision

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricPrecision

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricStatic

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDHeight

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropyPrecomputed

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPrecomputed

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDPrecision

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDStatic

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDAECS

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDClassification

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDDiscernability

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMAmbiguity

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMDiscernability

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMKLDivergence

getInformationLossInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMPublisherPayout

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns the information loss that would be induced by suppressing the given entry.

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.MetricAECS

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.MetricDM

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.MetricDMStar

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.MetricEntropy

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.MetricHeight

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.MetricNMPrecision

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.MetricPrecision

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.MetricStatic

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDHeight

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPrecomputed

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDStatic

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDAECS

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDClassification

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMAmbiguity

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMDiscernability

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMKLDivergence

getInformationLossInternal(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMPublisherPayout

getInformationLossInternalRaw(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed

getInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Returns input

getInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Returns input

getInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Returns input

getInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Returns input

getInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Returns input

getInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Returns input

getInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Returns input

getInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Returns input

getInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Returns input

getInput() - Methode in Klasse org.deidentifier.arx.ARXResult

Returns the associated input handle

getInputBuffer() - Methode in Klasse org.deidentifier.arx.DataHandleInput

Returns the input buffer

getInputBuffer() - Methode in Klasse org.deidentifier.arx.DataHandleOutput

Returns the input buffer

getInputBuffer() - Methode in Klasse org.deidentifier.arx.framework.check.TransformationChecker

Returns the input buffer

getInputData() - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupify

Returns the input data matrix

getInputStream(String) - Methode in Klasse org.deidentifier.arx.risk.HIPAAConstants

Implement this to load the according file

getInputStream(String) - Methode in Klasse org.deidentifier.arx.risk.resources.us.HIPAAConstantsUS

Returns constants for the US population

getInsensitiveAttributes() - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns the insensitive attributes.

getInstance() - Methode in Klasse org.deidentifier.arx.risk.HIPAAIdentifierMatch

The instance of the identifier

getInstanceForLocalRecoding(RowSet, double) - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Clones this config and projects everything onto the given subset.
- All privacy models will be cloned
- Subsets in d-presence will be projected accordingly
- Utility measures will be cloned
- Replaces estimated k-map with according k-anonymity

getInt(int, int) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns an int value from the specified cell.

getInternalConfiguration() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns an internal variant of the class which provides a broader interface

getInterruptibleInstance() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns an interruptible instance of this object.

getInterruptibleInstance() - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilder

Returns an interruptible instance of this object.

getIntervals() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased

Returns all currently defined intervals.

getJournalistRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleSummary

Returns the journalist risk

getK() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

Returns the k parameter of (k,b)-SDGS

getK() - Methode in Klasse org.deidentifier.arx.criteria.KAnonymity

Returns the parameter k.

getK() - Methode in Klasse org.deidentifier.arx.criteria.KMap

Returns k.

getK() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack

Returns the parameter k

getK() - Methode in Klasse org.deidentifier.arx.dp.ParameterCalculation

Returns beta

getKey() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.IntArrayDictionaryEntry

Gets the key of this class.

getKurtosisAsDouble() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the kurtosis

getKurtosisAsString() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the kurtosis

getKurtosisAsValue() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the kurtosis

getL() - Methode in Klasse org.deidentifier.arx.criteria.LDiversity

Returns the parameter l.

getLabel() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased.AbstractGroup

Returns the label

getLabel() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityAggregateFunction

Returns the label

getLabel() - Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction

Returns a label for this function

getLabel() - Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunctionDescription

getLabel() - Methode in Klasse org.deidentifier.arx.DataType.DataTypeDescription

Returns a human readable label.

getLabelForLinebreak(char[]) - Statische Methode in Klasse org.deidentifier.arx.io.CSVSyntax

Returns a label for a linebreak

getLambda() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression

getLastTransformation() - Methode in Klasse org.deidentifier.arx.framework.check.TransformationCheckerStateMachine

Returns the last transformation.

getLastTransition() - Methode in Klasse org.deidentifier.arx.framework.check.TransformationCheckerStateMachine

Returns the last transition.

getLattice() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics

Converts the statistics into a lattice

getLattice() - Methode in Klasse org.deidentifier.arx.ARXResult

Returns the lattice.

getLearningRate() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression

getLength() - Methode in Klasse org.deidentifier.arx.Data

Override to return a length to improve loading

getLength() - Methode in Klasse org.deidentifier.arx.io.ImportAdapter

Returns the number of records, if available, null otherwise

getLength() - Methode in Klasse org.deidentifier.arx.io.ImportAdapterCSV

getLength() - Methode in Klasse org.deidentifier.arx.io.ImportAdapterJDBC

getLevel() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased.Level

Returns the level

getLevel() - Methode in Klasse org.deidentifier.arx.framework.lattice.Transformation

Return level

getLevel(int) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased

Returns the given level.

getLevel(int[]) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns the level of the given transformation

getLevel(int[]) - Methode in Klasse org.deidentifier.arx.framework.lattice.Transformation

Returns the sum of all transformation levels;

getLevels() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased

Returns all currently defined levels.

getLevels() - Methode in Klasse org.deidentifier.arx.ARXLattice

Returns the levels of the generalization lattice.

getLevels() - Methode in Klasse org.deidentifier.arx.framework.data.GeneralizationHierarchy

Returns the number of levels

getLinearPhaseConfiguration() - Methode in Klasse org.deidentifier.arx.algorithm.FLASHConfiguration

Getter.

getLinebreak() - Methode in Klasse org.deidentifier.arx.io.CSVSyntax

Gets the line break.

getLinebreak() - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationCSV

Gets the linebreak.

getLinebreakForLabel(String) - Statische Methode in Klasse org.deidentifier.arx.io.CSVSyntax

Returns a linebreak for a label

getListIndent() - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle

getListItemIndicator(int) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementList

Styling

getListItemIndicatorFont(CertificateStyle) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementList

Styling

getLocale() - Methode in Klasse org.deidentifier.arx.DataType.ARXDate

Returns the locale of the format.

getLocale() - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal

Returns the locale of the format.

getLocale() - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger

Returns the locale of the format.

getLocale() - Methode in Klasse org.deidentifier.arx.DataType.ARXOrderedString

Returns the locale of the format.

getLocale() - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithFormat

Locale

getLong(int, int) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a long value from the specified cell.

getLowerBound() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode

Returns a node's lower bound, if any.

getLowerBound() - Methode in Klasse org.deidentifier.arx.framework.lattice.Transformation

Returns the lower bound on information loss

getLowerBound() - Methode in Klasse org.deidentifier.arx.metric.InformationLossWithBound

getLowerBound(Long) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong

Returns the lower bound

getLowerBound(SolutionSpaceIntArray.IntArrayWrapper) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray

Returns the lower bound

getLowerBound(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns a lower bound for the information loss for the given node.

getLowerBound(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns a lower bound for the information loss for the given node.

getLowerBound(T) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns the lower bound

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns a lower bound for the information loss for the given node.

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.MetricAECS

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.MetricDefault

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.MetricDM

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.MetricDMStar

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.MetricEntropy

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.MetricHeight

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.MetricNMEntropy

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.MetricNMPrecision

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.MetricPrecision

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.MetricStatic

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.MetricWeighted

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDHeight

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPrecomputed

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropy

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropy

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropyPrecomputed

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropy

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPrecomputed

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDStatic

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDAECS

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDClassification

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMAmbiguity

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMDiscernability

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMKLDivergence

getLowerBoundInternal(Transformation<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMPublisherPayout

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns a lower bound for the information loss for the given node.

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricAECS

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricDefault

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricDM

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricDMStar

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricEntropy

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricHeight

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricNMEntropy

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricNMPrecision

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricPrecision

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricStatic

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.MetricWeighted

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDHeight

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPrecomputed

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropyPrecomputed

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPrecomputed

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDStatic

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDAECS

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDClassification

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMAmbiguity

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMDiscernability

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMKLDivergence

getLowerBoundInternal(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMPublisherPayout

getLowerRange() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased

Returns the lower range.

getLowestRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRisks

Returns the lowest re-identification risk of any records in the data set

getLowestRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleSummary.RiskSummary

Minimum probability of re-identification

getLowestRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleWildcard

Returns the lowest risk

getLowestScore() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode

Returns the highest score.

getLowestScore() - Methode in Klasse org.deidentifier.arx.ARXLattice

Returns the lowest score.

getMapping() - Methode in Klasse org.deidentifier.arx.framework.data.Dictionary

Returns the mapping array.

getMarketerRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleSummary

Returns the marketer risk

getMatchingDataTypes(int) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a mapping from data types to the relative number of values that conform to the according type.

getMatchingDataTypes(int, double) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a mapping from data types to the relative number of values that conform to the according type.

getMatchingDataTypes(int, Class) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a mapping from data types to the relative number of values that conform to the according type for a given wrapped class.

getMatchingDataTypes(int, Class, double) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a mapping from data types to the relative number of values that conform to the according type for a given wrapped class.

getMatchingDataTypes(int, Class, Locale) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a mapping from data types to the relative number of values that conform to the according type for a given wrapped class.

getMatchingDataTypes(int, Class, Locale, double) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a mapping from data types to the relative number of values that conform to the according type for a given wrapped class.

getMatchingDataTypes(int, Locale) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a mapping from data types to the relative number of values that conform to the according type This method only returns types that match at least 80% of all values in the column .

getMatchingDataTypes(int, Locale, double) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a mapping from data types to the relative number of values that conform to the according type.

getMatchType() - Methode in Klasse org.deidentifier.arx.risk.HIPAAIdentifierMatch

The classifier (column name or instance)

getMaterializedTransformations() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns all materialized transformations

getMaterializedTransformations() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray

Returns all materialized transformations

getMaterializedTransformations() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong

Returns all materialized transformations

getMax() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.Interval

Returns the maximum.

getMax() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityMeasureColumnOriented

Returns an aggregate, or NaN if not available.

getMax(boolean) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityMeasureColumnOriented

Returns an aggregate, or NaN if not available.

getMaxAsString() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the max

getMaxAsValue() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the max

getMaxColumns() - Methode in Klasse org.deidentifier.arx.io.CSVOptions

getMaxColumns() - Methode in Klasse org.deidentifier.arx.io.CSVSyntax

Returns the max columns

getMaxColumns() - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationCSV

Returns max columns

getMaxHeight() - Methode in Klasse org.deidentifier.arx.metric.MetricHeight

getMaximalEntropyBasedInformationLoss(DomainShare[], DataAggregationInformation) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss

Returns the maximal entropy-based information loss

getMaximalEquivalenceClassSize() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsEquivalenceClasses

Returns the maximal size of an equivalence class.

getMaximalGeneralization(String) - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics.Step

Returns the maximal generalization level for the attribute.

getMaximalTransformationLevels() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics.Step

Returns the transformation as an array.

getMaximum() - Methode in Klasse org.deidentifier.arx.DataType.ARXDate

getMaximum() - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal

getMaximum() - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger

getMaximum() - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale

Maximum

getMaximumGeneralization(String) - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns the maximum generalization for the attribute.

getMaximumNumberOfLeafNodes() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest

getMaximumSnapshotSizeDataset() - Methode in Klasse org.deidentifier.arx.ARXAnonymizer

Gets the snapshot size.

getMaximumSnapshotSizeSnapshot() - Methode in Klasse org.deidentifier.arx.ARXAnonymizer

Gets the snapshot size.

getMaxLevels() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased

Gets the maximal number of levels

getMaxOutliers() - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

Returns the max relative number of outliers.

getMaxOutliers() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Veraltet.

getMaxQuasiIdentifiers() - Methode in Klasse org.deidentifier.arx.ARXAnonymizer

Returns the maximal number of quasi-identifiers.

getMaxRecords() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression

getMaxRecords() - Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration

getMaxValueLength() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased

Returns properties about the attribute's domain.

getMedianAsString() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the median

getMedianAsValue() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the median

getMetadata() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics.Step

Returns the metadata associated with the result, if any

getMetadata() - Methode in Klasse org.deidentifier.arx.metric.InformationLoss

Adds new metadata

getMetric() - Methode in Klasse org.deidentifier.arx.framework.check.TransformationChecker

Returns the utility measure

getMicroaggregationColumns() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation

Returns the columns in the original array which are microaggregated

getMicroAggregationFunction(String) - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns the according microaggregation function.

getMicroaggregationFunctions() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation

Returns the distribution aggregate functions for all microaggregated values

getMicroaggregationHeader() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation

Returns the attributes in the analyzed dataset which are microaggregated

getMicroaggregationIndices() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation

Returns the indices of all attributes that are microaggregated in order hotQIsNotGeneralized, hotQIsGeneralized, coldQIs.

getMin() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.Interval

Returns the minimum.

getMinAsString() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the min

getMinAsValue() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the min

getMinHeight() - Methode in Klasse org.deidentifier.arx.metric.MetricHeight

getMinimalClassSize() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

getMinimalClassSize() - Methode in Klasse org.deidentifier.arx.criteria.KAnonymity

getMinimalClassSize() - Methode in Klasse org.deidentifier.arx.criteria.KMap

getMinimalClassSize() - Methode in Klasse org.deidentifier.arx.criteria.LDiversity

getMinimalClassSize() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

If a privacy model provides a prosecutor risk threshold, it should override this method to enable optimizations

getMinimalClassSize() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalistNoAttack

getMinimalClassSize() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack

getMinimalEquivalenceClassSize() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsEquivalenceClasses

Returns the minimal size of an equivalence class.

getMinimalGroupSize() - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

Returns the minimal size of an equivalence class induced by the contained criteria.

getMinimalGroupSize() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the minimal size of an equivalence class induced by the defined privacy models.

getMinimum() - Methode in Klasse org.deidentifier.arx.DataType.ARXDate

getMinimum() - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal

getMinimum() - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger

getMinimum() - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale

Minimum

getMinimumGeneralization(String) - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns the minimum generalization for the attribute.

getMinimumSizeOfLeafNodes() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest

getMinMax(double[]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Returns minimum, maximum for the given column

getMinMax(double[]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Returns minimum, maximum for the given column

getMinMax(double[]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Returns minimum, maximum for the given column

getMinMax(double[]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Returns minimum, maximum for the given column

getMinMax(double[]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Returns minimum, maximum for the given column

getMinMax(double[]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Returns minimum, maximum for the given column

getMinMax(double[]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Returns minimum, maximum for the given column

getMinMax(double[]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Returns minimum, maximum for the given column

getMinMax(double[]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Returns minimum, maximum for the given column

getMinMax(String[], DataType.DataTypeWithRatioScale<T>) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction

Returns the minimum and maximum value

getMinMaxValue() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.Range

If a value is discovered which is smaller/larger than this value an exception will be raised.

getMissings() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsQuality

Returns the fraction of missing values of the attributes considered

getModeAsString() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the mode

getModeAsValue() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the mode

getMonotonicityOfPrivacy() - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

Returns a monotonicity property

getMonotonicityOfPrivacy() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns whether the privacy model is monotonic

getMonotonicityOfUtility() - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

Returns a monotonicity property

getMonotonicityOfUtility() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns whether the utility measure is monotonic

getName() - Methode in Klasse org.deidentifier.arx.aggregates.classification.ClassificationFeatureMetadata

Returns the name of the feature

getName() - Methode in Enumeration org.deidentifier.arx.ARXPopulationModel.Region

getName() - Methode in Klasse org.deidentifier.arx.framework.data.GeneralizationHierarchy

Returns the name.

getName() - Methode in Klasse org.deidentifier.arx.io.ImportColumnIndexed

Gets the name.

getName() - Methode in Klasse org.deidentifier.arx.io.ImportColumnJDBC

getName() - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns the name of metric.

getName() - Methode in Klasse org.deidentifier.arx.metric.MetricDescription

getName() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss

getName() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropy

getName() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPotentiallyPrecomputed

getName() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPrecomputed

getName() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMAmbiguity

getName() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss

getName() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMKLDivergence

getName() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMPublisherPayout

getNameMatchers(String) - Methode in Klasse org.deidentifier.arx.risk.HIPAAConstants

Returns all matchers for the given category

getNext() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.IntArrayDictionaryEntry

Gets the next element in this bucket.

getNMSE(double, double, double[], double) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction

Calculates the mean square error after normalizing everything into [0,1]

getNode(int[]) - Methode in Klasse org.deidentifier.arx.ARXLattice

Returns the ARXNode for the given generalization scheme, null if not found.

getNonConformingValues(int, DataType<?>, int) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a set of values that do not conform to the given data type.

getNonUniformEntropy() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsQuality

Quality according to the "Non-Uniform Entropy" model proposed in:

A.

getNormalizedLinebreak(char[]) - Statische Methode in Klasse org.deidentifier.arx.io.CSVSyntax

Gets the normalized line break character.

getNumberOfDistinctValuesAsInt() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the number of distinct values

getNumberOfDistinctValuesAsString() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the number of distinct values

getNumberOfEquivalenceClasses() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsEquivalenceClasses

Returns the number of equivalence classes in the currently selected data representation.

getNumberOfEquivalenceClasses() - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupify

Returns the current size in terms of classes

getNumberOfMeasuresAsString() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the number of measures

getNumberOfRecords() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsEquivalenceClasses

Returns the number of tuples in the currently selected data representation.

getNumberOfRecordsIncludingSuppressedRecords() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsEquivalenceClasses

Returns the number of tuples in the currently selected data representation.

getNumberOfRecordsTransformed() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics.Step

Returns the number of records transformed in this step, -1 if not known.

getNumberOfSteps() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics

Returns the number of steps performed

getNumberOfSuppressedRecords() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsEquivalenceClasses

Returns the number of outliers in the currently selected data representation.

getNumberOfTrees() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest

getNumberOfVariablesToSplit() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest

getNumbersFromHierarchy(DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Returns a numeric representation, relying on the hierarchy

getNumbersFromHierarchy(DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Returns a numeric representation, relying on the hierarchy

getNumbersFromHierarchy(DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Returns a numeric representation, relying on the hierarchy

getNumbersFromHierarchy(DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Returns a numeric representation, relying on the hierarchy

getNumbersFromHierarchy(DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Returns a numeric representation, relying on the hierarchy

getNumbersFromHierarchy(DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Returns a numeric representation, relying on the hierarchy

getNumbersFromHierarchy(DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Returns a numeric representation, relying on the hierarchy

getNumbersFromHierarchy(DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Returns a numeric representation, relying on the hierarchy

getNumbersFromHierarchy(DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Returns a numeric representation, relying on the hierarchy

getNumbersFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Parses numbers from a numeric output column

getNumbersFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Parses numbers from a numeric output column

getNumbersFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Parses numbers from a numeric output column

getNumbersFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Parses numbers from a numeric output column

getNumbersFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Parses numbers from a numeric output column

getNumbersFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Parses numbers from a numeric output column

getNumbersFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Parses numbers from a numeric output column

getNumbersFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Parses numbers from a numeric output column

getNumbersFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Parses numbers from a numeric output column

getNumbersFromNumericColumn(DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Parses numbers from a numeric input column

getNumbersFromNumericColumn(DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Parses numbers from a numeric input column

getNumbersFromNumericColumn(DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Parses numbers from a numeric input column

getNumbersFromNumericColumn(DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Parses numbers from a numeric input column

getNumbersFromNumericColumn(DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Parses numbers from a numeric input column

getNumbersFromNumericColumn(DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Parses numbers from a numeric input column

getNumbersFromNumericColumn(DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Parses numbers from a numeric input column

getNumbersFromNumericColumn(DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Parses numbers from a numeric input column

getNumbersFromNumericColumn(DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Parses numbers from a numeric input column

getNumbersFromNumericColumnAndHierarchy(DataHandle, double[], DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Uses numeric input and a hierarchy to construct ranges

getNumbersFromNumericColumnAndHierarchy(DataHandle, double[], DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Uses numeric input and a hierarchy to construct ranges

getNumbersFromNumericColumnAndHierarchy(DataHandle, double[], DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Uses numeric input and a hierarchy to construct ranges

getNumbersFromNumericColumnAndHierarchy(DataHandle, double[], DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Uses numeric input and a hierarchy to construct ranges

getNumbersFromNumericColumnAndHierarchy(DataHandle, double[], DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Uses numeric input and a hierarchy to construct ranges

getNumbersFromNumericColumnAndHierarchy(DataHandle, double[], DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Uses numeric input and a hierarchy to construct ranges

getNumbersFromNumericColumnAndHierarchy(DataHandle, double[], DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Uses numeric input and a hierarchy to construct ranges

getNumbersFromNumericColumnAndHierarchy(DataHandle, double[], DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Uses numeric input and a hierarchy to construct ranges

getNumbersFromNumericColumnAndHierarchy(DataHandle, double[], DataHandle, int, String[][]) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Uses numeric input and a hierarchy to construct ranges

getNumChecksPerformed() - Methode in Klasse org.deidentifier.arx.framework.check.TransformationChecker

Returns the number of checks performed

getNumClasses() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification

Returns the number of classes

getNumClasses() - Methode in Klasse org.deidentifier.arx.risk.RiskModelHistogram

Returns a property of the class distribution

getNumClasses() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Returns the number of classes

getNumClassesOfSize(int) - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Returns the number of classes of the given size.

getNumColumns() - Methode in Klasse org.deidentifier.arx.DataHandle

Returns the number of columns in the dataset.

getNumColumns() - Methode in Klasse org.deidentifier.arx.DataHandleInput

getNumColumns() - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Method

getNumColumns() - Methode in Klasse org.deidentifier.arx.DataHandleOutput

getNumColumns() - Methode in Klasse org.deidentifier.arx.DataHandleSubset

getNumColumns() - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix

Returns the number of columns

getNumColumns() - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset

getNumConformingValues(int, DataType<?>) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns the number of (distinct) values that conform to the given data type.

getNumDimensions() - Methode in Klasse org.deidentifier.arx.framework.data.Dictionary

Returns the number of dimensions in the dictionary.

getNumericValue(String) - Methode in Klasse org.deidentifier.arx.aggregates.classification.ClassificationFeatureMetadata

Returns a scaled double representation, NaN if the value cannot be parsed or scaled

getNumFolds() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression

getNumFolds() - Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration

getNumMeasurements() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification

Returns the number of measurements

getNumOutputRecords() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the number of output records that will be produced, zero if this information is not available

getNumRecords() - Methode in Klasse org.deidentifier.arx.risk.RiskModelHistogram

Returns a property of the class distribution

getNumRecords(ARXConfiguration, Data) - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns the number of records

getNumRecordsAffectedByHighestRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRisks

Returns the number of records affected by the highest re-identification risk

getNumRecordsAffectedByLowestRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRisks

Returns the number of records affected by the lowest re-identification risk

getNumRows() - Methode in Klasse org.deidentifier.arx.DataHandle

Returns the number of rows in the dataset.

getNumRows() - Methode in Klasse org.deidentifier.arx.DataHandleInput

getNumRows() - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Method

getNumRows() - Methode in Klasse org.deidentifier.arx.DataHandleOutput

getNumRows() - Methode in Klasse org.deidentifier.arx.DataHandleSubset

getNumRows() - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix

Returns the number of rows

getNumRows() - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset

getNumTuples() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricSingleDimensional

Returns the number of rows in the dataset or subset.

getNumUniqueRecords() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleUniqueness

Returns the number of records affected by the lowest re-identification risk

getNumUniqueTuples(RiskModelPopulationUniqueness.PopulationUniquenessModel) - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Estimated number of unique tuples in the population according to the given model

getNumUniqueTuplesDankar() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Estimated number of unique tuples in the population according to Dankar's decision rule.

getNumUniqueTuplesDankar(boolean) - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Estimated number of unique tuples in the population according to Dankar's decision rule

getNumUniqueTuplesPitman() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Estimated number of unique tuples in the population according to Pitman's statistical model

getNumUniqueTuplesSNB() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Estimated number of unique tuples in the population according to the SNB model

getNumUniqueTuplesZayatz() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Estimated number of unique tuples in the population according to Zayatz's statistical model

getOptimum() - Methode in Klasse org.deidentifier.arx.ARXLattice

Returns the optimum, if any.

getOptimumFound() - Methode in Klasse org.deidentifier.arx.ARXResult

Returns whether the global optimum has been found

getOrder(String) - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

Returns the order of the given sensitive attribute in the original dataset.

getOrder(String) - Methode in Klasse org.deidentifier.arx.framework.data.DataManagerSubset

getOriginalAccuracy() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification

Returns the maximal accuracy.

getOriginalAverageError() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification

Returns the average error, defined as avg(1d-probability-of-correct-result) for each classification event.

getOriginalBrierScore() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification

Returns the brier score of the classifier trained on input data.

getOriginalROCCurve(String) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification

Returns the ROC curve for this class value calculated using the one-vs-all approach.

getOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Returns output

getOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Returns output

getOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Returns output

getOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Returns output

getOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Returns output

getOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Returns output

getOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Returns output

getOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Returns output

getOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Returns output

getOutput() - Methode in Klasse org.deidentifier.arx.ARXResult

Returns a handle to the data obtained by applying the optimal transformation.

getOutput(boolean) - Methode in Klasse org.deidentifier.arx.ARXResult

Returns a handle to the data obtained by applying the optimal transformation.

getOutput(InputStream, ARXLattice.ARXNode) - Methode in Klasse org.deidentifier.arx.ARXResult

Internal method, not for external use

getOutput(ARXLattice.ARXNode) - Methode in Klasse org.deidentifier.arx.ARXResult

Returns a handle to data obtained by applying the given transformation.

getOutput(ARXLattice.ARXNode, boolean) - Methode in Klasse org.deidentifier.arx.ARXResult

Returns a handle to data obtained by applying the given transformation.

getOutputBuffer() - Methode in Klasse org.deidentifier.arx.framework.check.TransformationChecker

Returns the output buffer

getOutputBufferGeneralized() - Methode in Klasse org.deidentifier.arx.DataHandleOutput

Returns the output buffer

getOutputBufferMicroaggregated() - Methode in Klasse org.deidentifier.arx.DataHandleOutput

Returns the output buffer

getOutputData() - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupify

Returns the output data

getPaddingCharacter() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased

Returns the padding character.

getParameter() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.AggregateFunctionWithParameter

Returns the parameter.

getParameter() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericCommonPrefix

getParameter() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericConstant

getParameter() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericSetOfPrefixes

getParameter() - Methode in Klasse org.deidentifier.arx.metric.v2.QualityMetadata

getParser(QualityConfigurationValueParser<?>, List<String>) - Statische Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityConfigurationRangeParser

Tries to find a matching parser

getPenaltyInfrequentResponse() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDClassification

Penalty for records with non-majority response

getPenaltyNoMajorityResponse() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDClassification

Penalty for records without a majority response

getPenaltySuppressed() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDClassification

Penalty for suppressed features

getPopulationBasedUniquenessRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilder

Returns a class providing population-based uniqueness estimates

getPopulationBasedUniquenessRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilderInterruptible

Returns a class providing population-based uniqueness estimates

getPopulationModel() - Methode in Klasse org.deidentifier.arx.criteria.KMap

getPopulationModel() - Methode in Klasse org.deidentifier.arx.criteria.PopulationUniqueness

getPopulationModel() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

Returns the associated population model, null if there is none.

getPopulationModel() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

getPopulationSize() - Methode in Klasse org.deidentifier.arx.ARXPopulationModel

Returns the population size

getPopulationSize() - Methode in Enumeration org.deidentifier.arx.ARXPopulationModel.Region

getPopulationSize() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Returns the population size

getPopulationUniquenessModel() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Returns the statistical model, used by Dankar et al.'

getPopulationVarianceAsDouble() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the population variance

getPopulationVarianceAsString() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the population variance

getPopulationVarianceAsValue() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the population variance

getPrecomputationThreshold() - Methode in Klasse org.deidentifier.arx.metric.MetricConfiguration

getPrecomputedMetric() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed

Returns the precomputed variant.

getPredecessors() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode

The predecessors.

getPredecessors() - Methode in Klasse org.deidentifier.arx.framework.lattice.Transformation

Returns all predeccessors of the transformation with the given identifier

getPredecessors() - Methode in Klasse org.deidentifier.arx.framework.lattice.TransformationIntArray

Returns all predeccessors of the transformation with the given identifier

getPredecessors() - Methode in Klasse org.deidentifier.arx.framework.lattice.TransformationLong

Returns all predeccessors of the transformation with the given identifier

getPreparedGroups() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased

Returns the prepared groups for recursion.

getPriorFunction() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression

getPriorities() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased

getPriority() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased

getPrivacyModel(Class<T>) - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

getPrivacyModel(Class<T>) - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns an instance of the class, if any.

getPrivacyModels() - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

Returns all criteria.

getPrivacyModels() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns all privacy models.

getPrivacyModels(Class<T>) - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns all privacy models which are instances of the given class.

getPrivacyModelsAsArray() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns all criteria (except k-anonymity) as an array.

getProcessStatistics() - Methode in Klasse org.deidentifier.arx.ARXResult

Returns statistics for the anonymization process

getProgress() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

If supported by the according builder, this method will report a progress value in [0,100].

getProgress() - Methode in Klasse org.deidentifier.arx.io.ImportAdapter

Returns the percentage of data has has already been imported.

getProgress() - Methode in Klasse org.deidentifier.arx.io.ImportAdapterCSV

Returns the percentage of data that has already been returned This divides the amount of bytes that have already been read by the amount of total bytes and casts the result into a percentage.

getProgress() - Methode in Klasse org.deidentifier.arx.io.ImportAdapterExcel

Returns the percentage of data that has already been returned The basis for this calculation is the row currently being accessed.

getProgress() - Methode in Klasse org.deidentifier.arx.io.ImportAdapterJDBC

Returns the percentage of data that has already been returned This divides the number of rows that have already been returned by the number of total rows and casts the result into a percentage.

getProgress() - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilderInterruptible

If supported by the according builder, this method will report a progress value in [0,100].

getPropertyAnonymous() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns a property

getPropertyChecked() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns a property

getPropertyExpanded() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Property for expanded transformation

getPropertyForceSnapshot() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns a property

getPropertyInsufficientUtility() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns a property

getPropertyKAnonymous() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns a property

getPropertyNotAnonymous() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns a property

getPropertyNotKAnonymous() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns a property

getPropertySuccessorsPruned() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns a property

getPropertyVisited() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns a property

getProsecutorRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleSummary

Returns the prosecutor risk

getPublisherBenefit() - Methode in Klasse org.deidentifier.arx.ARXCostBenefitConfiguration

Returns the amount of money earned by the data publisher for publishing a single record

getPublisherLoss() - Methode in Klasse org.deidentifier.arx.ARXCostBenefitConfiguration

Returns the amount of money lost by the data publisher, e.g. due to a fine, if a single record is attacked successfully

getQualityModel() - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

Returns the quality model to be used for optimizing output data.

getQualityModel() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the quality model to be used for optimizing output data.

getQualityStatistics() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns data quality according to various models.

getQualityStatistics() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns data quality according to various models.

getQualityStatistics(Set<String>) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns data quality according to various models.

getQualityStatistics(Set<String>) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns data quality according to various models.

getQualityStatistics(DataHandle) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns data quality according to various models.

getQualityStatistics(DataHandle) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns data quality according to various models.

getQualityStatistics(DataHandle, Set<String>) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns data quality according to various models.

getQualityStatistics(DataHandle, Set<String>) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns data quality according to various models.

getQuasiIdentifiersWithClusteringAndMicroaggregation() - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns the quasi-identifiers for which clustering and microaggregation has been specified.

getQuasiIdentifiersWithGeneralization() - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns the quasi-identifiers for which generalization is specified.

getQuasiIdentifiersWithMicroaggregation() - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns the quasi-identifiers for which microaggregation is specified.

getQuasiIdentifyingAttributes() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode

Returns the quasi identifiers.

getQuasiIdentifyingAttributes() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics.Step

Returns the quasi identifiers.

getQuasiIdentifyingAttributes() - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns the quasi identifying attributes.

getQuick(int) - Methode in Klasse org.deidentifier.arx.framework.lattice.TransformationList

Returns an element

getQuote() - Methode in Klasse org.deidentifier.arx.io.CSVSyntax

Gets the quote.

getQuote() - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationCSV

Gets the quote.

getRange(String) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityConfigurationRangeParser

Implement this method to provide a parser

getRangeAsDouble() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the range

getRangeAsString() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the range

getRangeAsValue() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the range

getRangeFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Tries to parse numbers from output when there is a numeric input column

getRangeFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Tries to parse numbers from output when there is a numeric input column

getRangeFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Tries to parse numbers from output when there is a numeric input column

getRangeFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Tries to parse numbers from output when there is a numeric input column

getRangeFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Tries to parse numbers from output when there is a numeric input column

getRangeFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Tries to parse numbers from output when there is a numeric input column

getRangeFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Tries to parse numbers from output when there is a numeric input column

getRangeFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Tries to parse numbers from output when there is a numeric input column

getRangeFromNumericColumn(double[], DataHandle, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Tries to parse numbers from output when there is a numeric input column

getRecordLevelSquaredError() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsQuality

Quality according to the model proposed in:

D.

getRecordsAtRisk() - Methode in Klasse org.deidentifier.arx.criteria.AverageReidentificationRisk

getRecordsAtRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleSummary.RiskSummary

Proportion of records with risk above threshold

getRecordsAtRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleWildcard

Returns the fraction of records with a risk higher than the given threshold

getRedactionCharacter() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased

Returns the redaction character.

getRedactionOrder() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased

Returns the redaction order.

getRegion() - Methode in Klasse org.deidentifier.arx.ARXPopulationModel

getRegistry() - Methode in Klasse org.deidentifier.arx.DataHandle

Returns the registry associated with this handle.

getRequiredScale() - Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction

Returns the required scale of measure

getRequiredScale() - Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunctionDescription

getRequirements() - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

Returns the criteria's requirements.

getRequirements() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the criteria's requirements.

getRequirements() - Methode in Klasse org.deidentifier.arx.criteria.BasicBLikeness

getRequirements() - Methode in Klasse org.deidentifier.arx.criteria.DDisclosurePrivacy

getRequirements() - Methode in Klasse org.deidentifier.arx.criteria.DPresence

getRequirements() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

getRequirements() - Methode in Klasse org.deidentifier.arx.criteria.EnhancedBLikeness

getRequirements() - Methode in Klasse org.deidentifier.arx.criteria.Inclusion

getRequirements() - Methode in Klasse org.deidentifier.arx.criteria.KAnonymity

getRequirements() - Methode in Klasse org.deidentifier.arx.criteria.KMap

getRequirements() - Methode in Klasse org.deidentifier.arx.criteria.LDiversity

getRequirements() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

Returns the criterion's requirements.

getRequirements() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalist

getRequirements() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalistNoAttack

getRequirements() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutor

getRequirements() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack

getRequirements() - Methode in Klasse org.deidentifier.arx.criteria.RiskBasedCriterion

getRequirements() - Methode in Klasse org.deidentifier.arx.criteria.TCloseness

getResponseVariables() - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns the set of defined response variables

getRiskEstimator() - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a risk estimator, using the US population if required

getRiskEstimator(ARXPopulationModel) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a risk estimator

getRiskEstimator(ARXPopulationModel, Set<String>) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a risk estimator for the given set of quasi-identifiers

getRiskEstimator(ARXPopulationModel, Set<String>, ARXSolverConfiguration) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a risk estimator for the given set of quasi-identifiers

getRiskEstimator(ARXPopulationModel, ARXSolverConfiguration) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a risk estimator

getRiskEstimator(ARXPopulationModel, RiskModelHistogram) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a risk estimator for the given set of equivalence classes.

getRiskEstimator(ARXPopulationModel, RiskModelHistogram, ARXSolverConfiguration) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a risk estimator for the given set of equivalence classes.

getRiskThreshold() - Methode in Klasse org.deidentifier.arx.criteria.RiskBasedCriterion

Returns the risk threshold

getRiskThreshold() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleRiskDistribution

Returns the threshold which is available on prosecutor risks

getRiskThreshold() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleSummary.RiskSummary

Returns the threshold specified by the user.

getRiskThreshold() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleWildcard

Returns the user-specified threshold.

getRiskThresholdJournalist() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Return journalist risk threshold, 1 if there is none

getRiskThresholdJournalist() - Methode in Klasse org.deidentifier.arx.criteria.KAnonymity

Return journalist risk threshold, 1 if there is none

getRiskThresholdJournalist() - Methode in Klasse org.deidentifier.arx.criteria.KMap

Return journalist risk threshold, 1 if there is none

getRiskThresholdJournalist() - Methode in Klasse org.deidentifier.arx.criteria.LDiversity

Return journalist risk threshold, 1 if there is none

getRiskThresholdJournalist() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

Return journalist risk threshold, 1 if there is none

getRiskThresholdJournalist() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalistNoAttack

getRiskThresholdJournalist() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack

getRiskThresholdMarketer() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Return marketer risk threshold, 1 if there is none

getRiskThresholdMarketer() - Methode in Klasse org.deidentifier.arx.criteria.AverageReidentificationRisk

Return marketer risk threshold, 1 if there is none

getRiskThresholdMarketer() - Methode in Klasse org.deidentifier.arx.criteria.KAnonymity

Return marketer risk threshold, 1 if there is none

getRiskThresholdMarketer() - Methode in Klasse org.deidentifier.arx.criteria.KMap

Return marketer risk threshold, 1 if there is none

getRiskThresholdMarketer() - Methode in Klasse org.deidentifier.arx.criteria.LDiversity

Return marketer risk threshold, 1 if there is none

getRiskThresholdMarketer() - Methode in Klasse org.deidentifier.arx.criteria.PopulationUniqueness

Return marketer risk threshold, 1 if there is none

getRiskThresholdMarketer() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

Return marketer risk threshold, 1 if there is none

getRiskThresholdMarketer() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalistNoAttack

getRiskThresholdMarketer() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack

getRiskThresholdMarketer() - Methode in Klasse org.deidentifier.arx.criteria.SampleUniqueness

Return marketer risk threshold, 1 if there is none

getRiskThresholdProsecutor() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Return prosecutor risk threshold, 1 if there is none

getRiskThresholdProsecutor() - Methode in Klasse org.deidentifier.arx.criteria.KAnonymity

Return prosecutor risk threshold, 1 if there is none

getRiskThresholdProsecutor() - Methode in Klasse org.deidentifier.arx.criteria.KMap

Return journalist risk threshold, 1 if there is none

getRiskThresholdProsecutor() - Methode in Klasse org.deidentifier.arx.criteria.LDiversity

Return prosecutor risk threshold, 1 if there is none

getRiskThresholdProsecutor() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

Return prosecutor risk threshold, 1 if there is none

getRiskThresholdProsecutor() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalistNoAttack

getRiskThresholdProsecutor() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack

getROCCurve(String) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification

Returns the ROC curve for this class value calculated using the one-vs-all approach.

getRowCount() - Methode in Klasse org.deidentifier.arx.metric.MetricAECS

Returns the row count.

getRowCount() - Methode in Klasse org.deidentifier.arx.metric.MetricDM

Returns the current row count.

getRowCount() - Methode in Klasse org.deidentifier.arx.metric.MetricDMStar

Returns the current row count.

getSampleBasedPrivacyModelsAsArray() - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

Returns all sample-based criteria as an array.

getSampleBasedPrivacyModelsAsArray() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns all sample-based criteria as an array.

getSampleBasedReidentificationRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilder

Returns a class providing sample-based re-identification risk estimates

getSampleBasedReidentificationRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilderInterruptible

Returns a class providing sample-based re-identification risk estimates

getSampleBasedRiskDistribution() - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilder

Returns a class representing the distribution of prosecutor risks in the sample

getSampleBasedRiskDistribution() - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilderInterruptible

Returns a class representing the distribution of prosecutor risks in the sample

getSampleBasedRiskSummary(double) - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilder

Returns a risk summary

getSampleBasedRiskSummary(double) - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilderInterruptible

Returns a risk summary

getSampleBasedRiskSummary(double, String) - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilder

Returns a risk summary

getSampleBasedRiskSummary(double, String) - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilderInterruptible

Returns a risk summary

getSampleBasedRiskSummaryWildcard(double) - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilder

Returns a risk summary, using wildcard matching. "*" will be interpreted as a wildcard

getSampleBasedRiskSummaryWildcard(double) - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilderInterruptible

Returns a risk summary, using wildcard matching. "*" will be interpreted as a wildcard

getSampleBasedRiskSummaryWildcard(double, String) - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilder

Returns a risk summary, using wildcard matching

getSampleBasedRiskSummaryWildcard(double, String) - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilderInterruptible

Returns a risk summary, using wildcard matching

getSampleBasedUniquenessRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilder

Returns a class providing sample-based uniqueness estimates

getSampleBasedUniquenessRisk() - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilderInterruptible

Returns a class providing sample-based uniqueness estimates

getSampleSize() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Returns the sample size

getSampleVarianceAsDouble() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the sample variance

getSampleVarianceAsString() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the sample variance

getSampleVarianceAsValue() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the sample variance

getSamplingFraction() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Returns the sample fraction

getScale() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the scale of measure

getScale() - Methode in Klasse org.deidentifier.arx.DataType.DataTypeDescription

Scale

getScalingExpression(String) - Methode in Klasse org.deidentifier.arx.ARXFeatureScaling

Returns a scaling function

getScalingFunction(String) - Methode in Klasse org.deidentifier.arx.ARXFeatureScaling

Returns a scaling function

getScore() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics.Step

Returns a node's lower bound, if any.

getScore(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.Metric

Calculates the score.

getScore(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed

getScore(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss

getScore(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision

getScore(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed

getScore(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDAECS

getScore(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDClassification

getScore(Transformation<?>, HashGroupify) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMDiscernability

getSeed() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression

getSeed() - Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration

getSensitiveAttributes() - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns the sensitive attributes.

getSensitivity() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification.ROCCurve

Return the sensitivity = tp / (tp + fn).

getSeparation() - Methode in Klasse org.deidentifier.arx.risk.RiskModelAttributes.QuasiIdentifierRisk

Returns the alpha separation parameter of this quasi-identifier

getSet() - Methode in Klasse org.deidentifier.arx.DataSubset

Getter

getSHA256Checksum(Iterator<String[]>) - Methode in Klasse org.deidentifier.arx.io.CSVDataChecksum

Returns a hex-encoded MD5 checksum for the given data

getShare(int, int) - Methode in Schnittstelle org.deidentifier.arx.metric.v2.DomainShare

Returns the share of the given value.

getShare(int, int) - Methode in Klasse org.deidentifier.arx.metric.v2.DomainShareInterval

Returns the share of the given value.

getShare(int, int) - Methode in Klasse org.deidentifier.arx.metric.v2.DomainShareMaterialized

Returns the share of the given value.

getShare(int, int) - Methode in Klasse org.deidentifier.arx.metric.v2.DomainShareRedaction

Returns the share of the given value.

getShare(int, int) - Methode in Klasse org.deidentifier.arx.metric.v2.DomainShareReliable

Returns the share of the given value.

getShare(String, int) - Methode in Schnittstelle org.deidentifier.arx.aggregates.quality.QualityDomainShare

Returns the domain share

getShare(String, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityDomainShareRaw

getShare(String, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityDomainShareRedaction

getShares() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss

For subclasses.

getShares() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMAmbiguity

For subclasses.

getShares() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss

For subclasses.

getSheetIndex() - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationExcel

getShiftedInstance(T, DataType.DataTypeWithRatioScale<T>) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.Interval

Returns an instance shifted by the given offset

getSigma() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationNaiveBayes

Gets the prior count of add-k smoothing of evidence.

getSignificanceLevel() - Methode in Klasse org.deidentifier.arx.criteria.KMap

Returns the specified significance level.

getSize() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased.Group

Returns the size.

getSize() - Methode in Klasse org.deidentifier.arx.ARXLattice

Returns the number of nodes.

getSize() - Methode in Klasse org.deidentifier.arx.DataSubset

Returns the size of the data subset

getSize() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns the overall number of transformations in the solution space

getSize() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray

Returns the overall number of transformations in the solution space

getSize() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong

Returns the overall number of transformations in the solution space

getSizeThreshold(double) - Statische Methode in Klasse org.deidentifier.arx.reliability.ParameterTranslation

Returns a minimal class size for the given risk threshold

getSnapFrom() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.Range

Intervals will snap to lower/higher values from this value.

getSnapshotLength() - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

Returns the specific length of each entry in a snapshot.

getSnapshotLength() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the specific length of each entry in a snapshot.

getSnapshotStorageStrategy() - Methode in Klasse org.deidentifier.arx.algorithm.FLASHConfiguration

Getter: A trigger controlling which transformations are snapshotted.

getSource() - Methode in Klasse org.deidentifier.arx.DataHandleSubset

Returns the underlying source data handle.

getSpecificity() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification.ROCCurve

Returns the specificity = tn / (fp + tn).

getSplitRule() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest

getSSESST() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsQuality

Quality according to the model proposed in:

Solanas, Agusti, Antoni Martinez-Balleste, and J.

getStatisticalModel() - Methode in Klasse org.deidentifier.arx.criteria.PopulationUniqueness

getStatistics() - Methode in Klasse org.deidentifier.arx.DataHandle

Returns an object providing access to basic descriptive statistics about the data represented by this handle.

getStatistics() - Methode in Klasse org.deidentifier.arx.DataHandleInput

getStatistics() - Methode in Klasse org.deidentifier.arx.DataHandleOutput

getStatistics() - Methode in Klasse org.deidentifier.arx.DataHandleSubset

getStatisticsBuilder() - Methode in Klasse org.deidentifier.arx.DataHandleInternal

getStdDevAsDouble() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the standard deviation

getStdDevAsString() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the standard deviation

getStdDevAsValue() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns the standard deviation

getStep(int) - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics

Returns a step performed during the anonymization process

getStepOffset() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression

getSteps() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics

Returns all steps

getStorageTrigger() - Methode in Klasse org.deidentifier.arx.framework.check.history.History

Returns the current storage strategy.

getSubsample() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest

getSubset() - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

Returns the data subset, if any

getSubset() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the data subset, if any subset is defined.

getSubset() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

Returns a research subset, null if no subset is available

getSubset() - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Return the subset, if any

getSubset() - Methode in Klasse org.deidentifier.arx.DataHandleSubset

Returns the research subset.

getSubset(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns the subset

getSubsetInstance(RowSet) - Methode in Klasse org.deidentifier.arx.DataSubset

Returns a new data subset, only containing those rows that are included in the subset

getSubsetInstance(RowSet) - Methode in Klasse org.deidentifier.arx.framework.data.Data

Returns a new instance that is projected onto the given subset

getSubsetInstance(RowSet) - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

Returns an instance of this data manager, that is projected onto the given rowset

getSubtitleFont() - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle

getSubtitleSize() - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle

getSuccessors() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode

The successors.

getSuccessors() - Methode in Klasse org.deidentifier.arx.framework.lattice.Transformation

Returns all successors

getSuccessors() - Methode in Klasse org.deidentifier.arx.framework.lattice.TransformationIntArray

Returns all successors

getSuccessors() - Methode in Klasse org.deidentifier.arx.framework.lattice.TransformationLong

Returns all successors

getSuccessProbability(HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalist

getSuccessProbability(HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutor

Returns the success probability.

getSuccessRate() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleSummary.MarketerRisk

Proportion of records that can be re-identified on average

getSuccessRate() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleSummary.RiskSummary

Proportion of records that can be re-identified on average

getSuccessRate() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleWildcard

Returns the success rate

getSummaryStatistics(boolean) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilder

Returns summary statistics for all attributes.

getSummaryStatistics(boolean) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Returns summary statistics for all attributes.

getSuperset() - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Returns the superset, if this handle is a subset

getSupportedAggregateFunctions() - Methode in Klasse org.deidentifier.arx.metric.MetricDescription

Returns a list of all supported aggregate functions.

getSuppressedAttributeTypes() - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

Returns an integer representing all attribute types that must be suppressed.

getSuppressedAttributeTypes() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns an integer representing all attribute types that must be suppressed.

getSuppressedCodes() - Methode in Klasse org.deidentifier.arx.framework.data.Dictionary

Returns the codes for suppressed values

getSuppressedRecordsInInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Returns the number of records suppressed in input

getSuppressedRecordsInInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Returns the number of records suppressed in input

getSuppressedRecordsInInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Returns the number of records suppressed in input

getSuppressedRecordsInInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Returns the number of records suppressed in input

getSuppressedRecordsInInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Returns the number of records suppressed in input

getSuppressedRecordsInInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Returns the number of records suppressed in input

getSuppressedRecordsInInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Returns the number of records suppressed in input

getSuppressedRecordsInInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Returns the number of records suppressed in input

getSuppressedRecordsInInput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Returns the number of records suppressed in input

getSuppressedRecordsInOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Returns the number of records suppressed in output

getSuppressedRecordsInOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Returns the number of records suppressed in output

getSuppressedRecordsInOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Returns the number of records suppressed in output

getSuppressedRecordsInOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Returns the number of records suppressed in output

getSuppressedRecordsInOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Returns the number of records suppressed in output

getSuppressedRecordsInOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Returns the number of records suppressed in output

getSuppressedRecordsInOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Returns the number of records suppressed in output

getSuppressedRecordsInOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Returns the number of records suppressed in output

getSuppressedRecordsInOutput() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Returns the number of records suppressed in output

getSuppressedValue() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityConfiguration

getSuppressionFactor() - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns the factor used to weight suppressed values.

getSuppressionFactor() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed

getSuppressionFactor() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss

getSuppressionFactor() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPotentiallyPrecomputed

getSuppressionLimit() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns the suppression limit

getSuppressionString() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Returns the suppression string

getSuppressionString() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Returns the suppression string

getSuppressionString() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Returns the suppression string

getSuppressionString() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Returns the suppression string

getSuppressionString() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Returns the suppression string

getSuppressionString() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Returns the suppression string

getSuppressionString() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Returns the suppression string

getSuppressionString() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Returns the suppression string

getSuppressionString() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Returns the suppression string

getT() - Methode in Klasse org.deidentifier.arx.criteria.TCloseness

Returns the parameter t.

getTable() - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationJDBC

getText() - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementData

Returns the text

getTextFont() - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle

getTextSize() - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle

getThreshold() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed

Returns the threshold.

getThreshold() - Methode in Klasse org.deidentifier.arx.risk.RiskModelSampleSummary

Returns the user-defined risk threshold for individual records

getTime() - Methode in Klasse org.deidentifier.arx.ARXResult

Returns the execution time (wall clock).

getTimeLimit() - Methode in Klasse org.deidentifier.arx.algorithm.AbstractAlgorithm

Return stuff for progress monitoring

getTimeStart() - Methode in Klasse org.deidentifier.arx.algorithm.AbstractAlgorithm

Return stuff for progress monitoring

getTimeZone() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate

getTitleAlignment() - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle

getTitleFont() - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle

getTitleHint() - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle

getTitleSize() - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle

getTop() - Methode in Klasse org.deidentifier.arx.ARXLattice

Returns the top node.

getTop() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns the top-transformation

getTop() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray

Returns the top-transformation

getTop() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong

Returns the top-transformation

getTopCodingBound() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate

getTotalGeneralizationLevel() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode

Returns the sum of all generalization levels.

getTotalGeneralizationLevel() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics.Step

Returns the sum of all generalization levels.

getTransformation() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode

Returns the transformation as an array.

getTransformation() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics.Step

Returns the transformation as an array.

getTransformation() - Methode in Klasse org.deidentifier.arx.DataHandle

Returns the transformation .

getTransformation() - Methode in Klasse org.deidentifier.arx.framework.check.history.History

Returns the node backing the last returned snapshot.

getTransformation(int[]) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns a wrapper object with access to all properties about the transformation

getTransformation(int[]) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray

Returns a wrapper object with access to all properties about the transformation

getTransformation(int[]) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong

Returns a wrapper object with access to all properties about the transformation

getTransformation(Object) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns the transformation with the given identifier

getTransformation(Object) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray

Returns the transformation with the given identifier

getTransformation(Object) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong

Returns the transformation with the given identifier

getTransformationsAvailable() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics

Returns the number of transformations available in this process

getTransformationsChecked() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics

Returns the number of transformations checked in this process

getTransformer(long) - Methode in Klasse org.deidentifier.arx.framework.check.Transformer

Gets the applicator.

getTree(String) - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

Returns the tree for the given sensitive attribute, if a generalization hierarchy is associated.

getTree(String) - Methode in Klasse org.deidentifier.arx.framework.data.DataManagerSubset

getTree(DataMatrix, int, int[][]) - Methode in Klasse org.deidentifier.arx.framework.data.DataManager

Returns a tree for the given attribute at the index within the given data array, using the given hierarchy.

getTree(DataMatrix, int, int[][]) - Methode in Klasse org.deidentifier.arx.framework.data.DataManagerSubset

getTriggerCheck() - Methode in Klasse org.deidentifier.arx.algorithm.FLASHPhaseConfiguration

Getter: A trigger for checking nodes in this phase.

getTriggerEvaluate() - Methode in Klasse org.deidentifier.arx.algorithm.FLASHPhaseConfiguration

Getter: A trigger for evaluating nodes in this phase.

getTriggerSkip() - Methode in Klasse org.deidentifier.arx.algorithm.FLASHPhaseConfiguration

Getter: A trigger for skipping nodes in this phase.

getTriggerTag() - Methode in Klasse org.deidentifier.arx.algorithm.FLASHPhaseConfiguration

Getter: A trigger for tagging nodes in this phase.

getTruePositiveRate() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification.ROCCurve

Returns true-positive rates for all cut-off points

getType() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationNaiveBayes

Type

getType() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilder

Returns the type of builder.

getType() - Methode in Klasse org.deidentifier.arx.AttributeType

Returns the type identifier.

getType1Error() - Methode in Klasse org.deidentifier.arx.criteria.KMap

Returns the calculated type I error.

getUnfinalizedValues(int) - Methode in Klasse org.deidentifier.arx.framework.data.Dictionary

Returns the map with unfinalized values for the given dimension

getUpperBounds() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed

Returns the upper bound of the entropy value per column

getUpperRange() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased

Returns the upper range.

getUSData() - Statische Methode in Klasse org.deidentifier.arx.risk.HIPAAConstants

Returns constants for the US

getUtility(Object) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Returns the utility of the transformation with the given identifier

getUtility(Object) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray

Returns the utility of the transformation with the given identifier

getUtility(Object) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong

Returns the utility of the transformation with the given identifier

getValue() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityMeasureRowOriented

Returns the normalized [0,1] value.

getValue() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.IntArrayDictionaryEntry

Gets the value.

getValue() - Methode in Klasse org.deidentifier.arx.metric.InformationLoss

Returns the value

getValue() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensional

getValue() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensionalReduced

getValue() - Methode in Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalRank

getValue() - Methode in Klasse org.deidentifier.arx.metric.v2.ILScore

getValue() - Methode in Klasse org.deidentifier.arx.metric.v2.ILSingleDimensional

getValue() - Methode in Klasse org.deidentifier.arx.metric.v2.QualityMetadata

getValue() - Methode in Klasse org.deidentifier.arx.risk.HIPAAIdentifierMatch

The value which caused the identification

getValue(int, int) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns the value in the specified cell.

getValue(int, int) - Methode in Klasse org.deidentifier.arx.DataHandleInput

getValue(int, int) - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Method

getValue(int, int) - Methode in Klasse org.deidentifier.arx.DataHandleOutput

getValue(int, int) - Methode in Klasse org.deidentifier.arx.DataHandleSubset

getValue(int, int, boolean) - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Gets the value

getValue(String) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityMeasureColumnOriented

Returns the normalized [0, 1] value for the given attribute.

getValueAtColumn(int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix

Gets the value in the given column for the row which has been set via setRow(row).

getValueAtColumn(int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset

getValueIdentifier(int, String) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns the internal value identifier

getValueIdentifier(int, String) - Methode in Klasse org.deidentifier.arx.DataHandleInput

getValueIdentifier(int, String) - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Returns the internal id of the given value

getValueIdentifier(int, String) - Methode in Klasse org.deidentifier.arx.DataHandleOutput

getValueIdentifier(int, String) - Methode in Klasse org.deidentifier.arx.DataHandleSubset

getValues() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderOrderBased.CloseElements

Returns the values

getValues() - Methode in Klasse org.deidentifier.arx.common.TupleWrapper

Returns the associated entry

getValues() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensional

getVectorLength() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression

getVectorLength() - Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration

getView() - Methode in Klasse org.deidentifier.arx.DataHandle

Returns a new data handle that represents a context specific view on the dataset.

getView() - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Returns the view

getView() - Methode in Klasse org.deidentifier.arx.DataHandleSubset

getVirtualSize() - Methode in Klasse org.deidentifier.arx.ARXLattice

Returns the virtual size of the solution space

getvMargin() - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle

getWeights() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensional

getWrappedClass() - Methode in Klasse org.deidentifier.arx.DataType.DataTypeDescription

Returns the wrapped java class.

getZeroRAccuracy() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification

Returns the minimal accuracy.

getZeroRAverageError() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification

Returns the average error, defined as avg(1d-probability-of-correct-result) for each classification event.

getZerorBrierScore() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification

Returns the brier score of the ZeroR classifier.

getZeroRROCCurve(String) - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification

Returns the ROC curve for this class value calculated using the one-vs-all approach.

GINI - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest.SplitRule

GRASSBERGER - Enum-Konstante in Enumeration org.deidentifier.arx.criteria.EntropyLDiversity.EntropyEstimator

The Grassberger estimator

greater(double) - Methode in Klasse org.deidentifier.arx.DataSelector

greater(String) - Methode in Klasse org.deidentifier.arx.DataSelector

greater(Date) - Methode in Klasse org.deidentifier.arx.DataSelector

greaterThan(IntervalDouble, IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble

Greater than

Groupify<T> - Klasse in org.deidentifier.arx.common

A hash groupify operator.

Groupify(int) - Konstruktor für Klasse org.deidentifier.arx.common.Groupify

Constructs a new hash groupify operator.

Groupify.Group - Klasse in org.deidentifier.arx.common

Entry

GroupifyCounter() - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyCounter

GroupifyCounterDistribution() - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyCounterDistribution

GroupifyCounterSecondaryCounter() - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyCounterSecondaryCounter

GroupifyCounterSecondaryCounterDistribution() - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyCounterSecondaryCounterDistribution

GroupifyDistribution() - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer.GroupifyDistribution

H

hasFormat() - Methode in Klasse org.deidentifier.arx.DataType.DataTypeDescription: Returns whether the type be parameterized with a format string.
hashcode - Variable in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyEntry: The hashcode of this class.
hashcode - Variable in Klasse org.deidentifier.arx.framework.check.groupify.MetaHashGroupifyEntry: The hashcode of this class.
hashcode(int[]) - Statische Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashTableUtil: Computes a hashcode for an integer array, partially unrolled.
hashCode() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.Interval
hashCode() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsContingencyTable.Entry
hashCode() - Methode in Klasse org.deidentifier.arx.common.TupleWrapper
hashCode() - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
hashCode() - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
hashCode() - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
hashCode() - Methode in Klasse org.deidentifier.arx.DataType.ARXOrderedString
hashCode() - Methode in Klasse org.deidentifier.arx.DataType.ARXString
hashCode() - Methode in Klasse org.deidentifier.arx.DataType
hashCode() - Methode in Klasse org.deidentifier.arx.metric.InformationLoss
hashCode() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensionalReduced
hashCode() - Methode in Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalRank
hashCode() - Methode in Klasse org.deidentifier.arx.metric.v2.ILScore
hashCode() - Methode in Klasse org.deidentifier.arx.metric.v2.ILSingleDimensional
hashCode(int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix: Returns an hashcode for the given row
hashCode(int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset
hashCode(int[]) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix: Computes a hashcode for an integer array, partially unrolled.
hashcode_old(int[]) - Statische Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashTableUtil: Computes a hashcode for an integer array.
hashCodeIgnore(int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix: Returns an hashcode for the given row
HashGroupify - Klasse in org.deidentifier.arx.framework.check.groupify: A hash groupify operator.
HashGroupify(int, ARXConfiguration.ARXConfigurationInternal, int, DataMatrix, DataMatrix, DataMatrix, int[]) - Konstruktor für Klasse org.deidentifier.arx.framework.check.groupify.HashGroupify: Constructs a new hash groupify operator.
HashGroupifyDistribution - Klasse in org.deidentifier.arx.framework.check.groupify: A distribution of equivalence classes
HashGroupifyDistribution.PrivacyCondition - Schnittstelle in org.deidentifier.arx.framework.check.groupify: A condition that may or may not be fulfilled for the distribution
HashGroupifyDistribution.PrivacyCondition.State - Enum in org.deidentifier.arx.framework.check.groupify: The current state of the search condition
HashGroupifyEntry - Klasse in org.deidentifier.arx.framework.check.groupify: Implements an equivalence class.
HashGroupifyEntry(DataMatrix, int, int) - Konstruktor für Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyEntry: Creates a new entry.
HashTableUtil - Klasse in org.deidentifier.arx.framework.check.groupify: This class implements several helper methods for hash tables.
HashTableUtil() - Konstruktor für Klasse org.deidentifier.arx.framework.check.groupify.HashTableUtil
hasLowerBound() - Methode in Klasse org.deidentifier.arx.metric.InformationLossWithBound: Is a lower bound provided.
hasNext() - Methode in Klasse org.deidentifier.arx.common.Groupify.Group: Returns whether a next entry exists
hasNext() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionIterator
hasNext() - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyEntry: Return has next
hasNext() - Methode in Klasse org.deidentifier.arx.framework.check.history.MRUCache.MRULinkedListIterator
hasNext() - Methode in Klasse org.deidentifier.arx.framework.lattice.ObjectIterator: Is there a next element?
hasNext() - Methode in Klasse org.deidentifier.arx.framework.lattice.ObjectIterator.ObjectIteratorIntArray
hasNext() - Methode in Klasse org.deidentifier.arx.framework.lattice.ObjectIterator.ObjectIteratorLong
hasNext() - Methode in Klasse org.deidentifier.arx.io.ImportAdapterCSV: Indicates whether there is another element to return This returns true when the CSV file has another line, which would be assigned to ImportAdapterCSV.row during the last iteration of ImportAdapterCSV.next().
hasNext() - Methode in Klasse org.deidentifier.arx.io.ImportAdapterExcel: Indicates whether there is another element to return This returns true when the file contains another line, which could be accessed by ImportAdapterExcel.iterator.
hasNext() - Methode in Klasse org.deidentifier.arx.io.ImportAdapterJDBC: Indicates whether there is another element to return This returns true when there is another element in the result set ImportAdapterJDBC.resultSet.
hasParameter() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction: Returns whether the function accepts a parameter.
hasProperty(int[], PredictiveProperty) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Returns whether a node has a given property
hasProperty(int[], PredictiveProperty) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray: Returns whether a node has a given property
hasProperty(int[], PredictiveProperty) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong: Returns whether a node has a given property
hasProperty(PredictiveProperty) - Methode in Klasse org.deidentifier.arx.framework.lattice.Transformation: Returns whether this transformation has a given property
header - Variable in Klasse org.deidentifier.arx.DataHandle: The header.
header - Variable in Klasse org.deidentifier.arx.io.ImportAdapter: The header.
headerMap - Variable in Klasse org.deidentifier.arx.DataHandle: The header.
HEALTH_PLAN_BENEFICIARY_NUMBER - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier
HierarchicalDistanceTCloseness - Klasse in org.deidentifier.arx.criteria: The t-closeness criterion with hierarchical-distance EMD.
HierarchicalDistanceTCloseness(String, double, AttributeType.Hierarchy) - Konstruktor für Klasse org.deidentifier.arx.criteria.HierarchicalDistanceTCloseness: Creates a new instance of the t-closeness criterion with hierarchical earth-movers-distance as proposed in: Li N, Li T, Venkatasubramanian S.
hierarchies - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The hierarchies.
hierarchies - Variable in Klasse org.deidentifier.arx.framework.check.Transformer: The hierarchies.
Hierarchy() - Konstruktor für Klasse org.deidentifier.arx.AttributeType.Hierarchy: Instantiates a new hierarchy.
hierarchy0 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The hierarchies
hierarchy1 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The hierarchies
hierarchy10 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The hierarchies
hierarchy11 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The hierarchies
hierarchy12 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The hierarchies
hierarchy13 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The hierarchies
hierarchy14 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The hierarchies
hierarchy2 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The hierarchies
hierarchy3 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The hierarchies
hierarchy4 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The hierarchies
hierarchy5 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The hierarchies
hierarchy6 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The hierarchies
hierarchy7 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The hierarchies
hierarchy8 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The hierarchies
hierarchy9 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The hierarchies
HierarchyBuilder<T> - Klasse in org.deidentifier.arx.aggregates: Base class for hierarchy builders.
HierarchyBuilder(HierarchyBuilder.Type) - Konstruktor für Klasse org.deidentifier.arx.aggregates.HierarchyBuilder: Creates a new instance.
HierarchyBuilder.Type - Enum in org.deidentifier.arx.aggregates: The three types of builders.
HierarchyBuilderDate - Klasse in org.deidentifier.arx.aggregates: This class enables building hierarchies for dates.
HierarchyBuilderDate.Format - Klasse in org.deidentifier.arx.aggregates: A format-class for localization
HierarchyBuilderDate.Granularity - Enum in org.deidentifier.arx.aggregates: Granularity
HierarchyBuilderGroupingBased<T> - Klasse in org.deidentifier.arx.aggregates: This abstract base class enables building hierarchies for categorical and non-categorical values.
HierarchyBuilderGroupingBased(HierarchyBuilder.Type, DataType<T>) - Konstruktor für Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased: Creates a new instance for the given data type.
HierarchyBuilderGroupingBased.AbstractGroup - Klasse in org.deidentifier.arx.aggregates: A group representation to be used by subclasses.
HierarchyBuilderGroupingBased.Group - Klasse in org.deidentifier.arx.aggregates: This class represents a fanout parameter.
HierarchyBuilderGroupingBased.Level - Klasse in org.deidentifier.arx.aggregates: This class represents a level in the hierarchy.
HierarchyBuilderIntervalBased<T> - Klasse in org.deidentifier.arx.aggregates: This class enables building hierarchies for non-categorical values by mapping them into given intervals.
HierarchyBuilderIntervalBased(DataType<T>) - Konstruktor für Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased: Creates a new instance.
HierarchyBuilderIntervalBased(DataType<T>, HierarchyBuilderIntervalBased.Range<T>, HierarchyBuilderIntervalBased.Range<T>) - Konstruktor für Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased: Creates a new instance.
HierarchyBuilderIntervalBased.IndexNode - Klasse in org.deidentifier.arx.aggregates: This class represents an node.
HierarchyBuilderIntervalBased.Interval<T> - Klasse in org.deidentifier.arx.aggregates: This class represents an interval.
HierarchyBuilderIntervalBased.Range - Klasse in org.deidentifier.arx.aggregates: For each direction, this class encapsulates three bounds.
HierarchyBuilderOrderBased<T> - Klasse in org.deidentifier.arx.aggregates: This class enables building hierarchies for categorical and non-categorical values by ordering the data items and merging into groups with predefined sizes.
HierarchyBuilderOrderBased.CloseElements<T> - Klasse in org.deidentifier.arx.aggregates: Internal helper class
HierarchyBuilderOrderBased.SerializableComparator<T> - Klasse in org.deidentifier.arx.aggregates: A serializable comparator.
HierarchyBuilderPriorityBased<T> - Klasse in org.deidentifier.arx.aggregates: This class enables building hierarchies mostly for categorical variables by iteratively removing the value with lowest priority
HierarchyBuilderPriorityBased.Priority - Enum in org.deidentifier.arx.aggregates: For priorities
HierarchyBuilderRedactionBased<T> - Klasse in org.deidentifier.arx.aggregates: This class enables building hierarchies for categorical and non-categorical values using redaction.
HierarchyBuilderRedactionBased.Order - Enum in org.deidentifier.arx.aggregates: Order
HIGH - Enum-Konstante in Enumeration org.deidentifier.arx.DataGeneralizationScheme.GeneralizationDegree
HIGHEST_TO_LOWEST - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased.Priority: Highest to lowest
HIPAAConstants - Klasse in org.deidentifier.arx.risk: Utility class providing access to important constants for finding HIPAA identifiers.
HIPAAConstants() - Konstruktor für Klasse org.deidentifier.arx.risk.HIPAAConstants
HIPAAConstantsUS - Klasse in org.deidentifier.arx.risk.resources.us: Utility class providing access to important constants for finding HIPAA identifiers.
HIPAAConstantsUS() - Konstruktor für Klasse org.deidentifier.arx.risk.resources.us.HIPAAConstantsUS
HIPAAIdentifierMatch - Klasse in org.deidentifier.arx.risk: Provides information about the occurrence of an HIPPA identifier
HIPAAIdentifierMatch.HIPAAIdentifier - Enum in org.deidentifier.arx.risk: Represents the HIPPA identifiers
HIPAAIdentifierMatch.MatchType - Enum in org.deidentifier.arx.risk: Represents the classifier for the HIPAA identifier.
History - Klasse in org.deidentifier.arx.framework.check.history: The Class History.
History(int, int, double, double, ARXConfiguration.ARXConfigurationInternal, IntArrayDictionary, IntArrayDictionary, SolutionSpace<?>) - Konstruktor für Klasse org.deidentifier.arx.framework.check.history.History: Creates a new history.
History.StorageStrategy - Enum in org.deidentifier.arx.framework.check.history: Two types of storage strategies for the history
HOUR_DAY_MONTH_YEAR - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity: Granularity

I

id - Variable in Klasse org.deidentifier.arx.framework.check.history.MRUCacheEntryMetadata

identifier - Variable in Klasse org.deidentifier.arx.framework.lattice.Transformation

The id.

IDENTIFYING_ATTRIBUTE - Statische Variable in Klasse org.deidentifier.arx.AttributeType

Represents an identifying attribute.

ignoreMissingData - Variable in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction

Whether or not null values should be ignored

IImportColumnIndexed - Schnittstelle in org.deidentifier.arx.io

Interface to be implemented when columns can be referred to by an index.

ILMultiDimensionalArithmeticMean - Klasse in org.deidentifier.arx.metric.v2

This class implements an information loss which can be represented as a decimal number per quasi-identifier.

ILMultiDimensionalGeometricMean - Klasse in org.deidentifier.arx.metric.v2

This class implements an information loss which can be represented as a decimal number per quasi-identifier.

ILMultiDimensionalMax - Klasse in org.deidentifier.arx.metric.v2

This class implements an information loss which can be represented as a decimal number per quasi-identifier.

ILMultiDimensionalRank - Klasse in org.deidentifier.arx.metric.v2

This class implements an information loss which can be represented as a decimal number per quasi-identifier.

ILMultiDimensionalSum - Klasse in org.deidentifier.arx.metric.v2

This class implements an information loss which can be represented as a decimal number per quasi-identifier.

ILMultiDimensionalWithBound - Klasse in org.deidentifier.arx.metric.v2

Information loss with a potential lower bound.

ILMultiDimensionalWithBound(AbstractILMultiDimensional) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalWithBound

Creates a new instance without a lower bound.

ILMultiDimensionalWithBound(AbstractILMultiDimensional, AbstractILMultiDimensional) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalWithBound

Creates a new instance.

ILScore - Klasse in org.deidentifier.arx.metric.v2

This class implements information loss using score values for data-independent differential privacy with appropriate comparison semantics (i.e. higher score values are better).

ILSingleDimensional - Klasse in org.deidentifier.arx.metric.v2

This class implements an information loss which can be represented as a single decimal number.

ILSingleDimensionalWithBound - Klasse in org.deidentifier.arx.metric.v2

Information loss with a potential lower bound.

ILSingleDimensionalWithBound(double) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.ILSingleDimensionalWithBound

Creates a new instance without a lower bound.

ILSingleDimensionalWithBound(double, double) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.ILSingleDimensionalWithBound

Creates a new instance.

ImplicitPrivacyCriterion - Klasse in org.deidentifier.arx.criteria

A privacy criterion that is implicitly bound to the quasi-identifiers.

ImplicitPrivacyCriterion(boolean, boolean) - Konstruktor für Klasse org.deidentifier.arx.criteria.ImplicitPrivacyCriterion

Creates a new instance

ImportAdapter - Klasse in org.deidentifier.arx.io

Base adapter for all data sources This defines properties and methods that all data source import adapters have in common.

ImportAdapter(ImportConfiguration) - Konstruktor für Klasse org.deidentifier.arx.io.ImportAdapter

Creates a new instance of this object with given configuration.

ImportAdapterCSV - Klasse in org.deidentifier.arx.io

Import adapter for CSV files This adapter can import data from a CSV file.

ImportAdapterCSV(ImportConfigurationCSV) - Konstruktor für Klasse org.deidentifier.arx.io.ImportAdapterCSV

Creates a new instance of this object with given configuration.

ImportAdapterExcel - Klasse in org.deidentifier.arx.io

Import adapter for Excel files This adapter can import data from Excel files.

ImportAdapterExcel(ImportConfigurationExcel) - Konstruktor für Klasse org.deidentifier.arx.io.ImportAdapterExcel

Creates a new instance of this object with given configuration Depending upon the file type it either uses HSSF or XSSF to access the file.

ImportAdapterJDBC - Klasse in org.deidentifier.arx.io

Import adapter for JDBC This adapter can import data from JDBC sources.

ImportAdapterJDBC(ImportConfigurationJDBC) - Konstruktor für Klasse org.deidentifier.arx.io.ImportAdapterJDBC

Creates a new instance of this object with given configuration.

ImportColumn - Klasse in org.deidentifier.arx.io

Represents a single data column This represents a single column that will be imported from.

ImportColumn(String, DataType<?>) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumn

Creates a new instance of this object with the given parameters.

ImportColumn(String, DataType<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumn

Creates a new instance of this object with the given parameters.

ImportColumnCSV - Klasse in org.deidentifier.arx.io

Represents a single CSV data column CSV columns are referred to by an index (see ImportColumnIndexed).

ImportColumnCSV(int, String, DataType<?>) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnCSV

Creates a new instance of this object with the given parameters.

ImportColumnCSV(int, String, DataType<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnCSV

Creates a new instance of this object with the given parameters.

ImportColumnCSV(int, DataType<?>) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnCSV

Creates a new instance of this object with the given parameters.

ImportColumnCSV(int, DataType<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnCSV

Creates a new instance of this object with the given parameters.

ImportColumnCSV(String, String, DataType<?>) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnCSV

Creates a new instance of this object with the given parameters.

ImportColumnCSV(String, String, DataType<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnCSV

Creates a new instance of this object with the given parameters.

ImportColumnCSV(String, DataType<?>) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnCSV

Creates a new instance of this object with the given parameters.

ImportColumnCSV(String, DataType<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnCSV

Creates a new instance of this object with the given parameters.

ImportColumnExcel - Klasse in org.deidentifier.arx.io

Represents a single Excel data column Excel columns are referred to by an index (see ImportColumnIndexed).

ImportColumnExcel(int, String, DataType<?>) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnExcel

Creates a new instance of this object with the given parameters.

ImportColumnExcel(int, String, DataType<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnExcel

Creates a new instance of this object with the given parameters.

ImportColumnExcel(int, DataType<?>) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnExcel

Creates a new instance of this object with the given parameters.

ImportColumnExcel(int, DataType<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnExcel

Creates a new instance of this object with the given parameters.

ImportColumnExcel(String, String, DataType<?>) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnExcel

Creates a new instance of this object with the given parameters.

ImportColumnExcel(String, String, DataType<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnExcel

Creates a new instance of this object with the given parameters.

ImportColumnExcel(String, DataType<?>) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnExcel

Creates a new instance of this object with the given parameters.

ImportColumnExcel(String, DataType<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnExcel

Creates a new instance of this object with the given parameters.

ImportColumnIndexed - Klasse in org.deidentifier.arx.io

Superclass for column types that are only referred to by an index.

ImportColumnIndexed(int, String, DataType<?>) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnIndexed

Creates a new instance of this object with the given parameters.

ImportColumnIndexed(int, String, DataType<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnIndexed

Creates a new instance of this object with the given parameters.

ImportColumnIndexed(int, DataType<?>) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnIndexed

Creates a new instance of this object with the given parameters.

ImportColumnIndexed(int, DataType<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnIndexed

Creates a new instance of this object with the given parameters.

ImportColumnIndexed(String, String, DataType<?>) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnIndexed

Creates a new instance of this object with the given parameters.

ImportColumnIndexed(String, String, DataType<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnIndexed

Creates a new instance of this object with the given parameters.

ImportColumnIndexed(String, DataType<?>) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnIndexed

Creates a new instance of this object with the given parameters.

ImportColumnIndexed(String, DataType<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnIndexed

Creates a new instance of this object with the given parameters.

ImportColumnJDBC - Klasse in org.deidentifier.arx.io

Represents a single JDBC data column JDBC columns can be referred to by both an index (

Ungültige Referenz

IIndexColumn

) and by name (IImportColumnNamed.

ImportColumnJDBC(int, String, DataType<?>) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnJDBC

Creates a new instance of this object with the given parameters.

ImportColumnJDBC(int, String, DataType<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnJDBC

Creates a new instance of this object with the given parameters.

ImportColumnJDBC(int, DataType<?>) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnJDBC

Creates a new instance of this object with the given parameters.

ImportColumnJDBC(int, DataType<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnJDBC

Creates a new instance of this object with the given parameters.

ImportColumnJDBC(String, String, DataType<?>) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnJDBC

Creates a new instance of this object with the given parameters.

ImportColumnJDBC(String, String, DataType<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnJDBC

Creates a new instance of this object with the given parameters.

ImportColumnJDBC(String, DataType<?>) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnJDBC

Creates a new instance of this object with the given parameters.

ImportColumnJDBC(String, DataType<?>, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportColumnJDBC

Creates a new instance of this object with the given parameters.

ImportConfiguration - Klasse in org.deidentifier.arx.io

Abstract base configuration This abstract superclass defines properties that all configurations have in common, i.e. a notion of columns, which can be added and retrieved.

ImportConfiguration() - Konstruktor für Klasse org.deidentifier.arx.io.ImportConfiguration

ImportConfigurationCSV - Klasse in org.deidentifier.arx.io

Configuration describing a CSV file.

ImportConfigurationCSV(String, Charset, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportConfigurationCSV

Creates a new instance of this object.

ImportConfigurationCSV(String, Charset, char, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportConfigurationCSV

Creates a new instance of this object.

ImportConfigurationCSV(String, Charset, char, char, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportConfigurationCSV

Creates a new instance of this object.

ImportConfigurationCSV(String, Charset, char, char, char, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportConfigurationCSV

Creates a new instance of this object.

ImportConfigurationCSV(String, Charset, char, char, char, char[], boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportConfigurationCSV

Creates a new instance of this object.

ImportConfigurationCSV(String, Charset, char, char, char, char[], boolean, int) - Konstruktor für Klasse org.deidentifier.arx.io.ImportConfigurationCSV

Creates a new instance of this object.

ImportConfigurationExcel - Klasse in org.deidentifier.arx.io

Configuration describing an Excel file This is used to describe Excel files.

ImportConfigurationExcel(String, int, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportConfigurationExcel

Creates a new instance of this object without specifying the file type The file type will be detected automatically using the file extension.

ImportConfigurationExcel(String, ImportConfigurationExcel.ExcelFileTypes, int, boolean) - Konstruktor für Klasse org.deidentifier.arx.io.ImportConfigurationExcel

Creates a new instance of this object.

ImportConfigurationExcel.ExcelFileTypes - Enum in org.deidentifier.arx.io

Valid file types for Excel files XLS is the "old" Excel file type, XLSX is the "new" Excel file type.

ImportConfigurationFile - Klasse in org.deidentifier.arx.io

Configuration describing a file in general File based configurations should extend this class as the notion of a ImportConfigurationFile.fileLocation is common to all of them.

ImportConfigurationFile() - Konstruktor für Klasse org.deidentifier.arx.io.ImportConfigurationFile

ImportConfigurationJDBC - Klasse in org.deidentifier.arx.io

Configuration describing a JDBC source.

ImportConfigurationJDBC(String, String) - Konstruktor für Klasse org.deidentifier.arx.io.ImportConfigurationJDBC

Creates a new instance of this object.

ImportConfigurationJDBC(String, String, String, String) - Konstruktor für Klasse org.deidentifier.arx.io.ImportConfigurationJDBC

Creates a new instance of this object.

ImportConfigurationJDBC(Connection, String) - Konstruktor für Klasse org.deidentifier.arx.io.ImportConfigurationJDBC

Creates a new instance of this object.

incCount(int) - Methode in Klasse org.deidentifier.arx.common.Groupify.Group

Increments the count

Inclusion - Klasse in org.deidentifier.arx.criteria

This is a special criterion that does not enforce any privacy guarantees but allows to define a data subset.

Inclusion(DataSubset) - Konstruktor für Klasse org.deidentifier.arx.criteria.Inclusion

Creates a new instance of the enclosure criterion.

incRefCount() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.IntArrayDictionaryEntry

Increments the reference counter

index - Variable in Klasse org.deidentifier.arx.criteria.ExplicitPrivacyCriterion

Attribute index

index() - Methode in Schnittstelle org.deidentifier.arx.aggregates.classification.ClassificationResult

Returns the index of the predicted value

index() - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassLogisticRegressionClassificationResult

index() - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassNaiveBayesClassificationResult

index() - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassRandomForestClassificationResult

index() - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassZeroRClassificationResult

indexes - Variable in Klasse org.deidentifier.arx.io.ImportAdapter

Indexes of columns that should be imported This keeps track of columns that should be imported, as not all columns will necessarily be imported.

IndexNode(T, T, HierarchyBuilderIntervalBased.Interval<T>[]) - Konstruktor für Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.IndexNode

Creates a new instance.

IndexNode(T, T, HierarchyBuilderIntervalBased.IndexNode[]) - Konstruktor für Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.IndexNode

Creates a new instance.

INDIA - Enum-Konstante in Enumeration org.deidentifier.arx.ARXPopulationModel.Region

individualCount() - Methode in Klasse org.deidentifier.arx.algorithm.GeneticAlgorithmSubpopulation

Gets the size of the subpopulation.

INFORMATION_LOSS - Enum-Konstante in Enumeration org.deidentifier.arx.framework.check.TransformationChecker.ScoreType

Use conventional information loss.

informationLoss - Variable in Klasse org.deidentifier.arx.framework.check.TransformationResult

Information loss.

InformationLoss<T> - Klasse in org.deidentifier.arx.metric

This class implements an abstract base class for information loss.

InformationLoss() - Konstruktor für Klasse org.deidentifier.arx.metric.InformationLoss

Creates a new instance

InformationLossDefaultWithBound - Klasse in org.deidentifier.arx.metric

Information loss with a potential lower bound.

InformationLossDefaultWithBound(double, double) - Konstruktor für Klasse org.deidentifier.arx.metric.InformationLossDefaultWithBound

Creates a new instance.

InformationLossWithBound<T> - Klasse in org.deidentifier.arx.metric

Information loss with a potential lower bound.

InformationLossWithBound(T) - Konstruktor für Klasse org.deidentifier.arx.metric.InformationLossWithBound

Creates a new instance without a lower bound.

InformationLossWithBound(T, T) - Konstruktor für Klasse org.deidentifier.arx.metric.InformationLossWithBound

Creates a new instance.

init(long, int[], HashGroupify, HashGroupify, int[], TransformationCheckerStateMachine.TransitionType, int, int, HashGroupifyEntry, DataMatrix) - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer

Prepares the next transformation

initialize(double[][], int[][][], int[][][]) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed

For backwards compatibility.

initialize(int) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional

For backwards compatibility only.

initialize(int[], double) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision

For backwards compatibility only.

initialize(int, int) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDHeight

For backwards compatibility only.

initialize(String[], DataType<?>) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionArithmeticMean

initialize(String[], DataType<?>) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionGeometricMean

initialize(String[], DataType<?>) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionMedian

initialize(String[], DataType<?>) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionMode

initialize(String[], DataType<?>) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction.DistributionAggregateFunctionModeWithDistributionFallback

initialize(String[], DataType<?>) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction

Initializes the function

initialize(DataManager) - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Initializes the configuration.

initialize(DataManager, ARXConfiguration) - Methode in Klasse org.deidentifier.arx.criteria.BasicBLikeness

initialize(DataManager, ARXConfiguration) - Methode in Klasse org.deidentifier.arx.criteria.DDisclosurePrivacy

initialize(DataManager, ARXConfiguration) - Methode in Klasse org.deidentifier.arx.criteria.DPresence

initialize(DataManager, ARXConfiguration) - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

initialize(DataManager, ARXConfiguration) - Methode in Klasse org.deidentifier.arx.criteria.EnhancedBLikeness

initialize(DataManager, ARXConfiguration) - Methode in Klasse org.deidentifier.arx.criteria.EqualDistanceTCloseness

initialize(DataManager, ARXConfiguration) - Methode in Klasse org.deidentifier.arx.criteria.ExplicitPrivacyCriterion

initialize(DataManager, ARXConfiguration) - Methode in Klasse org.deidentifier.arx.criteria.HierarchicalDistanceTCloseness

initialize(DataManager, ARXConfiguration) - Methode in Klasse org.deidentifier.arx.criteria.Inclusion

initialize(DataManager, ARXConfiguration) - Methode in Klasse org.deidentifier.arx.criteria.KMap

initialize(DataManager, ARXConfiguration) - Methode in Klasse org.deidentifier.arx.criteria.OrderedDistanceTCloseness

initialize(DataManager, ARXConfiguration) - Methode in Klasse org.deidentifier.arx.criteria.PopulationUniqueness

initialize(DataManager, ARXConfiguration) - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

Override this to initialize the criterion.

initialize(DataManager, ARXConfiguration) - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutor

initialize(DataManager, ARXConfiguration) - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack

initialize(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.Metric

Initializes the metric.

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.Metric

Implement this to initialize the metric.

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricAECS

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricDefault

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricDM

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricDMStar

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricEntropy

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricHeight

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricNMEntropy

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricNMPrecision

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricPrecision

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricStatic

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricWeighted

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricSingleDimensional

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDHeight

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPrecomputed

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropyPrecomputed

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPrecomputed

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDStatic

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDClassification

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMAmbiguity

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMDiscernability

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMKLDivergence

initializeInternal(DataManager, DataDefinition, Data, GeneralizationHierarchy[], ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMPublisherPayout

inputAnalyzed - Variable in Klasse org.deidentifier.arx.framework.check.Transformer

Other attribute values.

inputGeneralized - Variable in Klasse org.deidentifier.arx.framework.check.Transformer

The data.

INSENSITIVE_ATTRIBUTE - Statische Variable in Klasse org.deidentifier.arx.AttributeType

Represents an insensitive attribute.

instances - Variable in Klasse org.deidentifier.arx.framework.check.Transformer

The instances.

IntArrayDictionary - Klasse in org.deidentifier.arx.framework.check.distribution

A hash groupify operator.

IntArrayDictionary(int) - Konstruktor für Klasse org.deidentifier.arx.framework.check.distribution.IntArrayDictionary

Constructs a new dictionary.

IntArrayDictionaryEntry - Klasse in org.deidentifier.arx.framework.check.distribution

Implements an entry.

IntArrayDictionaryEntry(int[], int, int) - Konstruktor für Klasse org.deidentifier.arx.framework.check.distribution.IntArrayDictionaryEntry

Creates a new entry.

INTEGER - Statische Variable in Klasse org.deidentifier.arx.DataType

A generic integer data type.

internalCompare(int, int, int[], boolean) - Methode in Klasse org.deidentifier.arx.DataHandle

A negative integer, zero, or a positive integer as the first argument is less than, equal to, or greater than the second.

internalCompare(int, int, int[], boolean) - Methode in Klasse org.deidentifier.arx.DataHandleOutput

A negative integer, zero, or a positive integer as the first argument is less than, equal to, or greater than the second.

internalCompare(int, int, int[], boolean) - Methode in Klasse org.deidentifier.arx.DataHandleSubset

internalGetEncodedValue(int, int, boolean) - Methode in Klasse org.deidentifier.arx.DataHandle

Internal representation of get encoded value.

internalGetEncodedValue(int, int, boolean) - Methode in Klasse org.deidentifier.arx.DataHandleInput

internalGetEncodedValue(int, int, boolean) - Methode in Klasse org.deidentifier.arx.DataHandleOutput

internalGetEncodedValue(int, int, boolean) - Methode in Klasse org.deidentifier.arx.DataHandleSubset

internalGetNumSuppressedRecords() - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution

Returns the number of suppressed records.

internalGetValue(int, int, boolean) - Methode in Klasse org.deidentifier.arx.DataHandle

Internal representation of get value.

internalGetValue(int, int, boolean) - Methode in Klasse org.deidentifier.arx.DataHandleInput

internalGetValue(int, int, boolean) - Methode in Klasse org.deidentifier.arx.DataHandleOutput

Gets the value internal.

internalGetValue(int, int, boolean) - Methode in Klasse org.deidentifier.arx.DataHandleSubset

internalIsOutlier(int) - Methode in Klasse org.deidentifier.arx.DataHandleInput

Returns whether the given row is an outlier.

internalIsOutlier(int) - Methode in Klasse org.deidentifier.arx.DataHandleOutput

Returns whether the given row is an outlier.

internalIsOutlier(int, int[]) - Methode in Klasse org.deidentifier.arx.DataHandle

Returns whether this is an outlier regarding the given columns.

internalIsOutlier(int, int[]) - Methode in Klasse org.deidentifier.arx.DataHandleInput

internalIsOutlier(int, int[]) - Methode in Klasse org.deidentifier.arx.DataHandleOutput

internalIsOutlier(int, int[]) - Methode in Klasse org.deidentifier.arx.DataHandleSubset

internalRebuild() - Methode in Klasse org.deidentifier.arx.DataHandleSubset

Rebuild array representation of subset.

internalReplace(int, String, String) - Methode in Klasse org.deidentifier.arx.DataHandle

Internal replacement method.

internalReplace(int, String, String) - Methode in Klasse org.deidentifier.arx.DataHandleInput

internalReplace(int, String, String) - Methode in Klasse org.deidentifier.arx.DataHandleOutput

internalReplace(int, String, String) - Methode in Klasse org.deidentifier.arx.DataHandleSubset

internalSwap(int, int) - Methode in Klasse org.deidentifier.arx.DataHandleInput

Swaps the rows.

internalSwap(int, int) - Methode in Klasse org.deidentifier.arx.DataHandleOutput

Swap internal.

internalSwap(int, int) - Methode in Klasse org.deidentifier.arx.DataHandleSubset

Swaps the bits in the set representation.

internalTranslate(int) - Methode in Klasse org.deidentifier.arx.DataHandleSubset

Translates the row number.

interrupt - Variable in Klasse org.deidentifier.arx.aggregates.classification.ClassificationMethod

Interrupt flag

interrupt() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsBuilderInterruptible

Interrupts all computations.

interrupt() - Methode in Klasse org.deidentifier.arx.risk.RiskEstimateBuilderInterruptible

Interrupts all computations.

INTERVAL - Enum-Konstante in Enumeration org.deidentifier.arx.DataScale

INTERVAL_BASED - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilder.Type

Interval-based hierarchy

IntervalArithmeticDouble - Klasse in org.deidentifier.arx.reliability

Interval arithmetic system

IntervalArithmeticDouble() - Konstruktor für Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble

IntervalArithmeticException - Ausnahmeklasse in org.deidentifier.arx.reliability

Arithmetic exception

IntervalArithmeticException(String) - Konstruktor für Ausnahmeklasse org.deidentifier.arx.reliability.IntervalArithmeticException

Creates a new instace

IntervalDouble - Klasse in org.deidentifier.arx.reliability

A basic double interval

inv(IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble

1/x

IO - Klasse in org.deidentifier.arx.metric.v2

This class implements serialization for maps

IO() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.IO

IOUtil - Klasse in org.deidentifier.arx.io

Utility for I/O

IOUtil() - Konstruktor für Klasse org.deidentifier.arx.io.IOUtil

IP - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier

isAbleToHandleClusteredMicroaggregation() - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns whether this metric handles clustering and microaggregation

isAbleToHandleMicroaggregation() - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns whether this metric handles microaggregation

isAbleToHandleMicroaggregation() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss

isAbleToHandleMicroaggregation() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPotentiallyPrecomputed

isAbleToHandleMicroaggregation() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPrecomputed

isAbleToHandleMicroaggregation() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision

isAbleToHandleMicroaggregation() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDPrecision

isAbleToHandleMicroaggregation() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss

isAbleToHandleMicroaggregation() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMPublisherPayout

isAccurate() - Methode in Klasse org.deidentifier.arx.criteria.KMap

Return true if the population has been modeled explicitly.

isAggregateFunctionSupported() - Methode in Klasse org.deidentifier.arx.metric.MetricDescription

Returns whether an aggregate function is supported by the metric.

isAnonymityPropertyPredicable() - Methode in Klasse org.deidentifier.arx.algorithm.FLASHConfiguration

Returns whether or not the anonymity property is predictable

isAnonymous() - Methode in Klasse org.deidentifier.arx.DataHandle

Returns whether the data represented by this handle is anonymous

isAnonymous() - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Returns whether the handle is anonymous

isAnonymous() - Methode in Klasse org.deidentifier.arx.DataHandleOutput

isAnonymous() - Methode in Klasse org.deidentifier.arx.DataHandleSubset

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.BasicBLikeness

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.DDisclosurePrivacy

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.DistinctLDiversity

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.DPresence

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.EnhancedBLikeness

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.EntropyLDiversity

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.EqualDistanceTCloseness

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.HierarchicalDistanceTCloseness

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.Inclusion

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.KAnonymity

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.KMap

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.OrderedDistanceTCloseness

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

Implement this, to enforce the criterion.

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalistNoAttack

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutor

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.RecursiveCLDiversity

isAnonymous(Transformation<?>, HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.criteria.SampleBasedCriterion

Not supported by this type of criterion

isAny(String) - Statische Methode in Klasse org.deidentifier.arx.DataType

Returns whether the value represents any value

isArithmeticMeanAvailable() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns whether the following measure is available: mean

isAttackerModelSupported() - Methode in Klasse org.deidentifier.arx.metric.MetricDescription

isAttributeTypeSuppressed(AttributeType) - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns whether values of the given attribute type will be replaced by the suppression string in suppressed tuples.

isAttributeWeightsSupported() - Methode in Klasse org.deidentifier.arx.metric.MetricDescription

isAvailable() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityMeasure

Returns whether this measure is available

isAvailable() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityMeasureRowOriented

Returns whether this value is available

isAvailable(String) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityMeasure

Returns whether this measure is available for the given column

isAvailable(String) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityMeasureColumnOriented

Returns whether a value is available for the given attribute

isAvailableEstimate(RiskModelPopulationUniqueness.PopulationUniquenessModel) - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Returns whether the according estimate is available

isAvailableEstimateDankar() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Returns whether the according estimate is available

isAvailableEstimatePitman() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Returns whether the according estimate is available

isAvailableEstimateSNB() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Returns whether the according estimate is available

isAvailableEstimateZayatz() - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness

Returns whether the according estimate is available

isBinaryPhaseRequired() - Methode in Klasse org.deidentifier.arx.algorithm.FLASHConfiguration

Is a binary phase required.

isChecked() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode

Returns if the node has been checked explicitly.

isCity(String) - Methode in Klasse org.deidentifier.arx.risk.HIPAAConstants

Cities

isCleansing() - Methode in Klasse org.deidentifier.arx.io.ImportColumn

Should non-matching values be replaced with NULL values.

isColumnOriented() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityMeasure

Returns whether this is a column-oriented measure

isCompletelyGeneralized(HashGroupifyEntry) - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupify

Returns whether the given entry is completely generalized

isConfigurableCodingModelSupported() - Methode in Klasse org.deidentifier.arx.metric.MetricDescription

isContained(String[], String) - Methode in Klasse org.deidentifier.arx.aggregates.classification.ClassificationDataSpecification

Returns whether the given array contains the given value

isDataDependent() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

Returns whether this instance is data-dependent

isDeterministic() - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression

Returns whether the process should be deterministic

isDeterministic() - Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration

Returns whether the process should be deterministic

isDeterministic() - Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration

Returns whether the solving process is deterministic

isDeterministic() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

Returns whether this instance is deterministic

isDirectParentChild(int[], int[]) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Determines whether a direct parent-child relationship exists.

isDomainPropertiesAvailable() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased

Returns whether domain-properties are available for this builder.

isDomainPropertiesAvailable() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased

Returns whether domain-properties are available for this builder.

isEmpty() - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution

Returns whether there are no records to consider

isEmpty() - Methode in Klasse org.deidentifier.arx.framework.data.Data

Returns whether this object is empty

isEmpty() - Methode in Klasse org.deidentifier.arx.risk.RiskModelHistogram

Returns whether the histogram is empty

isFirstname(String) - Methode in Klasse org.deidentifier.arx.risk.HIPAAConstants

First names

isFormatSupported() - Methode in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity

Returns whether a format-string is supported by this granularity

isFulfilled(HashGroupifyDistribution) - Methode in Klasse org.deidentifier.arx.criteria.AverageReidentificationRisk

isFulfilled(HashGroupifyDistribution) - Methode in Klasse org.deidentifier.arx.criteria.PopulationUniqueness

We currently assume that at any time, at least one statistical model converges.

isFulfilled(HashGroupifyDistribution) - Methode in Klasse org.deidentifier.arx.criteria.RiskBasedCriterion

To be implemented by risk-based criteria

isFulfilled(HashGroupifyDistribution) - Methode in Klasse org.deidentifier.arx.criteria.SampleUniqueness

isFulfilled(HashGroupifyDistribution) - Methode in Schnittstelle org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution.PrivacyCondition

Evaluates the condition on the given distribution

isGeometricMeanAvailable() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns whether the following measure is available: geometric mean

isGSFactorSupported() - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns whether a generalization/suppression factor is supported

isGSFactorSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss

isGSFactorSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPotentiallyPrecomputed

isGSFactorSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPrecomputed

isGSFactorSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision

isGSFactorSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropy

isGSFactorSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPotentiallyPrecomputed

isGSFactorSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed

isGSFactorSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropy

isGSFactorSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropyPotentiallyPrecomputed

isGSFactorSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropyPrecomputed

isGSFactorSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDPrecision

isGSFactorSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDAECS

isGSFactorSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDClassification

isGSFactorSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss

isGSFactorSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMPublisherPayout

isHeuristicSearchSupported() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

isHeuristicSearchSupported() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

Returns whether the criterion supports heuristic search strategies.

isHeuristicSearchWithTimeLimitSupported() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

isHeuristicSearchWithTimeLimitSupported() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

Returns whether the criterion supports heuristic search strategies with time limits.

isHierarchyAvailable(String) - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns whether a hierarchy is available.

isHierarchyBuilderAvailable(String) - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns whether a hierarchy builder is available.

isIgnoreMissingData() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction

Returns whether this function ignores missing data

isIndependent() - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns whether this metric requires the transformed data or groups to determine information loss.

isIndependent() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed

isIndependent() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropy

isIndexSpecified() - Methode in Klasse org.deidentifier.arx.io.ImportColumnIndexed

Returns whether an index was given.

isInstance(Metric<?>) - Methode in Klasse org.deidentifier.arx.metric.MetricDescription

Returns whether the given metric is an instance of this description.

isJournalistAttackerModel() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMPublisherPayout

Returns whether the journalist attacker model is being assumed.

isKurtosisAvailable() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns whether the following measure is available: kurtosis

isLastname(String) - Methode in Klasse org.deidentifier.arx.risk.HIPAAConstants

Last names

isLinearPhaseRequired() - Methode in Klasse org.deidentifier.arx.algorithm.FLASHConfiguration

Is a linear phase required.

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.AverageReidentificationRisk

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.BasicBLikeness

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.DDisclosurePrivacy

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.DistinctLDiversity

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.DPresence

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.EnhancedBLikeness

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.EntropyLDiversity

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.EqualDistanceTCloseness

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.HierarchicalDistanceTCloseness

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.Inclusion

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.KAnonymity

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.KMap

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.OrderedDistanceTCloseness

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.PopulationUniqueness

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

Returns whether the criterion supports local recoding.

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalist

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalistNoAttack

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutor

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.RecursiveCLDiversity

isLocalRecodingSupported() - Methode in Klasse org.deidentifier.arx.criteria.SampleUniqueness

isLocalTransformation() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics

Returns whether the result is a local transformation scheme

isLocked() - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns whether this definition can be altered.

isLocked() - Methode in Klasse org.deidentifier.arx.DataHandleInput

Is this handle locked?.

isManageConnection() - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationJDBC

Returns whether we need to close the connection

isMaxAvailable() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns whether the following measure is available: max

isMaximumGeneralizationAvailable(String) - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns whether a maximum generalization level is available.

isMedianAvailable() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns whether the following measure is available: median

isMinAvailable() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns whether the following measure is available: min

isMinimalClassSizeAvailable() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

isMinimalClassSizeAvailable() - Methode in Klasse org.deidentifier.arx.criteria.KAnonymity

isMinimalClassSizeAvailable() - Methode in Klasse org.deidentifier.arx.criteria.KMap

isMinimalClassSizeAvailable() - Methode in Klasse org.deidentifier.arx.criteria.LDiversity

isMinimalClassSizeAvailable() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

If a privacy model provides a prosecutor risk threshold, it should override this method to enable optimizations

isMinimalClassSizeAvailable() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalistNoAttack

isMinimalClassSizeAvailable() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack

isMinimalClassSizeFulfilled() - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupify

Returns whether the current state of the dataset fulfills the minimal class-size property

isMinimumGeneralizationAvailable(String) - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns whether a minimum generalization level is available.

isModeAvailable() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns whether the following measure is available: mode

isModified() - Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration

Is this configuration modified

isModified() - Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration

Modified

isMonotonic() - Methode in Klasse org.deidentifier.arx.metric.MetricConfiguration

isMonotonic(double) - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns whether this model is monotonic under the given suppression limit.

isMonotonicVariantSupported() - Methode in Klasse org.deidentifier.arx.metric.MetricDescription

isMonotonicWithGeneralization() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

Returns whether the criterion is monotonic with generalization.

isMonotonicWithGeneralization() - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns false if the metric is non-monotonic when using generalization.

isMonotonicWithSuppression() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

Returns whether the criterion is monotonic with tuple suppression.

isMonotonicWithSuppression() - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns false if the metric is non-monotonic when using suppression.

isMultiDimensional() - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns true if the metric is multi-dimensional.

isNotOutlier - Variable in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyEntry

Is this class not an outlier?.

isNull(String) - Statische Methode in Klasse org.deidentifier.arx.DataType

Returns whether the value represents null

isNullInterval() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.Interval

Is this an interval for null values

isNumberOfRecordsTransformedAvailable() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics.Step

Returns whether it is known how many records have been transformed in this step.

isNumeric() - Methode in Klasse org.deidentifier.arx.aggregates.classification.ClassificationFeatureMetadata

Returns whether this is a numeric attribute

isNumericMicroaggregation() - Methode in Klasse org.deidentifier.arx.aggregates.classification.ClassificationFeatureMetadata

Returns whether this attribute is numeric and microaggregated in a type preserving manner

isOptimal() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics.Step

Returns whether the solution in this step is optimal

isOptimalSearchSupported() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

isOptimalSearchSupported() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

Returns whether the criterion supports optimal search strategies.

isOptimizable(DataHandle) - Methode in Klasse org.deidentifier.arx.ARXResult

Returns whether local recoding can be applied to the given handle

isOptimized() - Methode in Klasse org.deidentifier.arx.DataHandle

Has this handle been optimized with local recoding?

isOptimized() - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Returns whether the handle is optimized

isOptimized() - Methode in Klasse org.deidentifier.arx.DataHandleOutput

isOptimized() - Methode in Klasse org.deidentifier.arx.DataHandleSubset

isOptimizedLoading() - Methode in Klasse org.deidentifier.arx.io.ImportConfiguration

Tries to enable more efficient loading, if supported

isOutlier(int) - Methode in Klasse org.deidentifier.arx.DataHandle

Determines whether a given row is an outlier in the currently associated data transformation.

isOutlier(int) - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Returns whether the given row is suppressed

isOutlier(int) - Methode in Klasse org.deidentifier.arx.DataHandleSubset

isOutlier(int, int[]) - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Returns whether this is an outlier regarding the given columns.

isOutOfBound() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.Interval

Is this an interval representing values that are out of bounds

isOutOfLowerBound() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.Interval

Is this an interval representing values that are out of the lower bound

isOutput() - Methode in Klasse org.deidentifier.arx.DataHandleInternal

Returns whether this is an output handle

isParentChildOrEqual(int[], int[]) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace

Determines whether a parent-child relationship exists, or both are equal

isPopulationVarianceAvailable() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns whether the following measure is available: population variance

isPracticalMonotonicity() - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

Is practical monotonicity assumed.

isPracticalMonotonicity() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Is practical monotonicity assumed.

isPrecomputationSupported() - Methode in Klasse org.deidentifier.arx.metric.MetricDescription

isPrecomputed() - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns whether the metric is precomputed

isPrecomputed() - Methode in Klasse org.deidentifier.arx.metric.MetricConfiguration

isPrecomputed() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed

isPrecomputed() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPrecomputed

isPrecomputed() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed

isPrecomputed() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropyPrecomputed

isPrecomputed() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPrecomputed

isPrivacyModelFulfilled() - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupify

Returns whether the current state of the dataset fulfills the privacy model

isPrivacyModelSpecified(Class<? extends PrivacyCriterion>) - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

isPrivacyModelSpecified(Class<? extends PrivacyCriterion>) - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns whether the configuration contains a privacy model which is an instance of the given class.

isProsecutorAttackerModel() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMPublisherPayout

Returns whether the prosecutor attacker model is being assumed.

isPruneInsufficientUtility() - Methode in Klasse org.deidentifier.arx.algorithm.FLASHConfiguration

Prune based on lower bounds from monotonic shares of metrics for information loss?.

isRangeAvailable() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns whether the following measure is available: range

isReleased() - Methode in Klasse org.deidentifier.arx.DataHandle

Determines whether this handle is orphaned, i.e., should not be used anymore

isResponseVariable(String) - Methode in Klasse org.deidentifier.arx.DataDefinition

Returns whether the given attribute is a response variable

isResultAvailable() - Methode in Klasse org.deidentifier.arx.ARXResult

Indicates if a result is available.

isRowOriented() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityMeasure

Returns whether this is a row-oriented measure

isSampleBased() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

Is this criterion based on the overall sample

isSampleBased() - Methode in Klasse org.deidentifier.arx.criteria.SampleBasedCriterion

isSampleVarianceAvailable() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns whether the following measure is available: sample variance

isScoreFunctionSupported() - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns whether the metric provides a score function

isScoreFunctionSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensionalPotentiallyPrecomputed

isScoreFunctionSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss

isScoreFunctionSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision

isScoreFunctionSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed

isScoreFunctionSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDAECS

isScoreFunctionSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDClassification

isScoreFunctionSupported() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMDiscernability

isSelected(int) - Methode in Klasse org.deidentifier.arx.DataSelector

Determines whether the given row is selected by the expression.

isSolutationAvailable() - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics

Returns whether optimization has been performed

isState(String) - Methode in Klasse org.deidentifier.arx.risk.HIPAAConstants

States

isStdDevAvailable() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary

Returns whether the following measure is available: std. dev

isSubsetAvailable() - Methode in Klasse org.deidentifier.arx.criteria.DPresence

isSubsetAvailable() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy

isSubsetAvailable() - Methode in Klasse org.deidentifier.arx.criteria.KMap

isSubsetAvailable() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion

If a privacy model uses a data subset, it must overwrite this method

isSubsetAvailable() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalist

isSubsetAvailable() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalistNoAttack

isSubsetAvailable() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutor

isSubsetAvailable() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack

isSuppressed(int) - Methode in Klasse org.deidentifier.arx.DataHandle

Determines whether a given row is completely suppressed

isSuppressed(int, String) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Returns whether a value is suppressed

isSuppressed(int, String) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Returns whether a value is suppressed

isSuppressed(int, String) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Returns whether a value is suppressed

isSuppressed(int, String) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Returns whether a value is suppressed

isSuppressed(int, String) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Returns whether a value is suppressed

isSuppressed(int, String) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Returns whether a value is suppressed

isSuppressed(int, String) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Returns whether a value is suppressed

isSuppressed(int, String) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Returns whether a value is suppressed

isSuppressed(int, String) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Returns whether a value is suppressed

isSuppressed(DataHandle, int[], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

We assume that an entry is suppressed, if all values are equal

isSuppressed(DataHandle, int[], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

We assume that an entry is suppressed, if all values are equal

isSuppressed(DataHandle, int[], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

We assume that an entry is suppressed, if all values are equal

isSuppressed(DataHandle, int[], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

We assume that an entry is suppressed, if all values are equal

isSuppressed(DataHandle, int[], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

We assume that an entry is suppressed, if all values are equal

isSuppressed(DataHandle, int[], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

We assume that an entry is suppressed, if all values are equal

isSuppressed(DataHandle, int[], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

We assume that an entry is suppressed, if all values are equal

isSuppressed(DataHandle, int[], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

We assume that an entry is suppressed, if all values are equal

isSuppressed(DataHandle, int[], int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

We assume that an entry is suppressed, if all values are equal

isSuppressed(DataHandle, int, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss

Returns whether a value is suppressed

isSuppressed(DataHandle, int, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy

Returns whether a value is suppressed

isSuppressed(DataHandle, int, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision

Returns whether a value is suppressed

isSuppressed(DataHandle, int, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError

Returns whether a value is suppressed

isSuppressed(DataHandle, int, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS

Returns whether a value is suppressed

isSuppressed(DataHandle, int, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity

Returns whether a value is suppressed

isSuppressed(DataHandle, int, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility

Returns whether a value is suppressed

isSuppressed(DataHandle, int, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError

Returns whether a value is suppressed

isSuppressed(DataHandle, int, int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST

Returns whether a value is suppressed

isSuppressionAlwaysEnabled() - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

Returns whether suppression is applied to the output of anonymous as well as non-anonymous transformations.

isSuppressionAlwaysEnabled() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Returns whether suppression is applied to the output of anonymous as well as non-anonymous transformations.

isTypePreserving() - Methode in Klasse org.deidentifier.arx.AttributeType.MicroAggregationFunction

Returns whether this is a type-preserving function

isTypePreserving() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction

Returns whether this is a type-preserving function

isUseHeuristicForSampleBasedCriteria() - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal

Do we guarantee optimality for sample-based criteria?

isUseHeuristicSearchForSampleBasedCriteria() - Methode in Klasse org.deidentifier.arx.ARXConfiguration

Is optimality guaranteed for sample-based criteria?

isValid() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased

Returns whether the current configuration is valid.

isValid() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased

isValid(String) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate

isValid(String) - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal

isValid(String) - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger

isValid(String) - Methode in Klasse org.deidentifier.arx.DataType.ARXOrderedString

isValid(String) - Methode in Klasse org.deidentifier.arx.DataType.ARXString

isValid(String) - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale

Valid

isValid(String) - Methode in Klasse org.deidentifier.arx.DataType

Checks whether the given string conforms to the data type's format.

isValid(String, String) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate.Format

Checks whether the input string adheres to the pattern

isValidScalingFunction(String) - Methode in Klasse org.deidentifier.arx.ARXFeatureScaling

Returns whether the function is valid

isWeighted() - Methode in Klasse org.deidentifier.arx.metric.Metric

Returns true if the metric is weighted.

isZipcode(String) - Methode in Klasse org.deidentifier.arx.risk.HIPAAConstants

Zip codes

ITALIC - Enum-Konstante in Enumeration org.deidentifier.arx.certificate.elements.ElementText.TextStyle

iterationsPerTry(int) - Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration

iterationsTotal(int) - Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration

iterator - Variable in Klasse org.deidentifier.arx.aggregates.StatisticsContingencyTable

An iterator over the elements in the contingency table.

iterator() - Methode in Klasse org.deidentifier.arx.Data.DefaultData

iterator() - Methode in Klasse org.deidentifier.arx.Data

Iterator.

iterator() - Methode in Klasse org.deidentifier.arx.DataHandle

Returns an iterator over the data.

iterator() - Methode in Klasse org.deidentifier.arx.DataHandleInput

iterator() - Methode in Klasse org.deidentifier.arx.DataHandleOutput

iterator() - Methode in Klasse org.deidentifier.arx.DataHandleSubset

iterator() - Methode in Klasse org.deidentifier.arx.framework.check.history.MRUCache

Iterator.

iterator() - Methode in Klasse org.deidentifier.arx.io.CSVDataInput

Returns an iterator.

iterator(boolean) - Methode in Klasse org.deidentifier.arx.io.CSVDataInput

Returns an iterator.

iterator(int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix

First iterator

iterator(int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset

iterator_hasNext() - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix

First iterator

iterator_hasNext() - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset

iterator_next() - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix

First iterator

iterator_next() - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset

iterator_write(int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix

First iterator

iterator_write(int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset

J

JournalistRisk(double, double, double, double, double) - Konstruktor für Klasse org.deidentifier.arx.risk.RiskModelSampleSummary.JournalistRisk: Creates a new instance

K

k - Variable in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional: Minimal size of equivalence classes enforced by the differential privacy model
K_ANONYMITY - Enum-Konstante in Enumeration org.deidentifier.arx.algorithm.FLASHPhaseConfiguration.PhaseAnonymityProperty
KAnonymity - Klasse in org.deidentifier.arx.criteria: The k-anonymity criterion Published in: Sweeney L.
KAnonymity(int) - Konstruktor für Klasse org.deidentifier.arx.criteria.KAnonymity: Creates a new instance of the k-anonymity criterion as proposed in Sweeney L. k-Anonymity: A model for protecting privacy.
KMap - Klasse in org.deidentifier.arx.criteria: This class implements the k-map privacy model as proposed by Latanya Sweeney.

As an alternative to explicitly providing data about the underlying population, cell sizes can be can be estimated with the D3 (Poisson) and D4 (zero-truncated Poisson) estimators proposed in:
K.
KMap(int, double, ARXPopulationModel) - Konstruktor für Klasse org.deidentifier.arx.criteria.KMap: Creates a new instance of the criterion using thr Poisson estimator proposed by Pannekoek.
KMap(int, double, ARXPopulationModel, KMap.CellSizeEstimator) - Konstruktor für Klasse org.deidentifier.arx.criteria.KMap: Creates a new instance of the criterion using the Poisson estimator proposed by Pannekoek or by El Emam.
KMap(int, DataSubset) - Konstruktor für Klasse org.deidentifier.arx.criteria.KMap: Creates a new instance of the k-map criterion as proposed by Latanya Sweeney
KMap.CellSizeEstimator - Enum in org.deidentifier.arx.criteria: Estimators for cell sizes in the population.

L

l - Variable in Klasse org.deidentifier.arx.criteria.LDiversity: The parameter l.
L1 - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression.PriorFunction
L2 - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression.PriorFunction
lattice - Variable in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: The backing JHPL lattice
lattice - Variable in Klasse org.deidentifier.arx.framework.lattice.Transformation: The lattice
LatticeDeserializationContext() - Konstruktor für Klasse org.deidentifier.arx.ARXLattice.LatticeDeserializationContext
LDiversity - Klasse in org.deidentifier.arx.criteria: An abstract base class for l-diversity criteria Published in: Machanavajjhala A, Kifer D, Gehrke J.
LDiversity(String, double, boolean, boolean) - Konstruktor für Klasse org.deidentifier.arx.criteria.LDiversity: Creates a new instance.
LEFT_TO_RIGHT - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased.Order: Order
length() - Methode in Klasse org.deidentifier.arx.RowSet: Returns the number of available bits
leq(double) - Methode in Klasse org.deidentifier.arx.DataSelector
leq(String) - Methode in Klasse org.deidentifier.arx.DataSelector
leq(Date) - Methode in Klasse org.deidentifier.arx.DataSelector
less(double) - Methode in Klasse org.deidentifier.arx.DataSelector
less(String) - Methode in Klasse org.deidentifier.arx.DataSelector
less(Date) - Methode in Klasse org.deidentifier.arx.DataSelector
lessThan(IntervalDouble, IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Less than
lessThanOrEqual(IntervalDouble, IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Less than
lessThanOrOverlap(IntervalDouble, IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Less than or overlap
level - Variable in Klasse org.deidentifier.arx.framework.check.history.MRUCacheEntryMetadata: Level
level0 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The levels.
level1 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The levels.
level10 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The levels.
level11 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The levels.
level12 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The levels.
level13 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The levels.
level14 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The levels.
level2 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The levels.
level3 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The levels.
level4 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The levels.
level5 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The levels.
level6 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The levels.
level7 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The levels.
level8 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The levels.
level9 - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The levels.
levelARX - Variable in Klasse org.deidentifier.arx.framework.lattice.Transformation: The level
levelJHPL - Variable in Klasse org.deidentifier.arx.framework.lattice.Transformation: The level
LIGHTNINGAlgorithm - Klasse in org.deidentifier.arx.algorithm: Lightning algorithm as described in:

Prasser, F., Bild, R., Eicher, J., Spengler, H., Kohlmayer, F., Ungültige Eingabe: "&" Kuhn, K.
LIGHTNINGAlgorithm(SolutionSpace<?>, TransformationChecker, int, int) - Konstruktor für Klasse org.deidentifier.arx.algorithm.LIGHTNINGAlgorithm: Constructor
LIGHTNINGTopDownAlgorithm - Klasse in org.deidentifier.arx.algorithm: Top-down version of the lightning algorithm.
list() - Statische Methode in Klasse org.deidentifier.arx.DataType: Lists all available data types.
list() - Statische Methode in Klasse org.deidentifier.arx.metric.Metric: Returns a list of all available metrics for information loss.
list(Class) - Statische Methode in Klasse org.deidentifier.arx.DataType: Returns a datatype for the given class.
listMicroAggregationFunctions() - Statische Methode in Klasse org.deidentifier.arx.AttributeType: Lists all available microaggregation functions
log(IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Log
log2(double) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss: Log base-2
log2(double) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy: Log base-2
log2(double) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision: Log base-2
log2(double) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError: Log base-2
log2(double) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS: Log base-2
log2(double) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity: Log base-2
log2(double) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility: Log base-2
log2(double) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError: Log base-2
log2(double) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST: Log base-2
logFactorial(int) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Log of factorial of n.
LOW - Enum-Konstante in Enumeration org.deidentifier.arx.DataGeneralizationScheme.GeneralizationDegree
LOW_MEDIUM - Enum-Konstante in Enumeration org.deidentifier.arx.DataGeneralizationScheme.GeneralizationDegree
lower - Variable in Klasse org.deidentifier.arx.reliability.IntervalDouble: Lower
lowerBound - Variable in Klasse org.deidentifier.arx.framework.check.TransformationResult: Lower bound.
lowerBound - Variable in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Information loss
LOWERCASE_ALPHABETICAL - Enum-Konstante in Enumeration org.deidentifier.arx.certificate.CertificateStyle.ListStyle
LOWEST_TO_HIGHEST - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased.Priority: Lowest to highest

M

makeBackwardsCompatible(int) - Methode in Klasse org.deidentifier.arx.ARXPopulationModel: Veraltet.
map - Variable in Klasse org.deidentifier.arx.framework.data.GeneralizationHierarchy: Input->level->output.
mappedColumns - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The column index array.
mappedHierarchies - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The column map array.
mappedLevels - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The state index array.
mark(PDDocument) - Methode in Klasse org.deidentifier.arx.certificate.resources.Watermark: Marks the document
MarketerRisk(double) - Konstruktor für Klasse org.deidentifier.arx.risk.RiskModelSampleSummary.MarketerRisk: Creates a new instance
materializeHierarchies(DataHandle) - Methode in Klasse org.deidentifier.arx.DataDefinition: Materializes all functional hierarchies.
max(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.InformationLoss: Retains the maximum of this and other.
max(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensional
max(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.ILScore
max(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.ILSingleDimensional
max(IntervalDouble, IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Max
maxFrequency - Variable in Klasse org.deidentifier.arx.aggregates.StatisticsContingencyTable: Maximal frequency in the contingency table.
MAXIMUM - Enum-Konstante in Enumeration org.deidentifier.arx.metric.Metric.AggregateFunction: Maximum
maxLevel - Variable in Klasse org.deidentifier.arx.ARXLattice.LatticeDeserializationContext: Max level
MEDICAL_RECORD_NUMBER - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier
MEDIUM - Enum-Konstante in Enumeration org.deidentifier.arx.DataGeneralizationScheme.GeneralizationDegree
MEDIUM_HIGH - Enum-Konstante in Enumeration org.deidentifier.arx.DataGeneralizationScheme.GeneralizationDegree
merge(int[], int[]) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.Distribution: Merge a frequency set with a history entry.
merge(List<HierarchyBuilderOrderBased.CloseElements<T>>, AggregateFunction<T>) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderOrderBased.CloseElements: Method
merge(ARXProcessStatistics) - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics: Returns new process statistics that are a merger of this and the other statistics
merge(Distribution) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.Distribution: Merges two frequency sets.
MetaHashGroupify - Klasse in org.deidentifier.arx.framework.check.groupify: A hash groupify operator for entries of hash groupifies
MetaHashGroupify(HashGroupify, int) - Konstruktor für Klasse org.deidentifier.arx.framework.check.groupify.MetaHashGroupify: Constructs a new operator.
MetaHashGroupifyEntry - Klasse in org.deidentifier.arx.framework.check.groupify: Implements a grouping of equivalence classes
MetaHashGroupifyEntry(int, int) - Konstruktor für Klasse org.deidentifier.arx.framework.check.groupify.MetaHashGroupifyEntry: Creates a new entry.
Metric<T> - Klasse in org.deidentifier.arx.metric: Abstract base class for metrics.
Metric(boolean, boolean, boolean, double) - Konstruktor für Klasse org.deidentifier.arx.metric.Metric: Create a new metric.
Metric.AggregateFunction - Enum in org.deidentifier.arx.metric: Pluggable aggregate functions.
MetricAECS - Klasse in org.deidentifier.arx.metric: This class provides an implementation of the (normalized) average equivalence class size metric.
MetricAECS() - Konstruktor für Klasse org.deidentifier.arx.metric.MetricAECS: Creates a new instance
MetricConfiguration - Klasse in org.deidentifier.arx.metric: A class for a configuration of a metric.
MetricConfiguration(boolean, double, boolean, double, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.MetricConfiguration: Constructs a new instance.
MetricDefault - Klasse in org.deidentifier.arx.metric: This class provides an abstract skeleton for the implementation of metrics.
MetricDefault(boolean, boolean, boolean) - Konstruktor für Klasse org.deidentifier.arx.metric.MetricDefault
MetricDescription - Klasse in org.deidentifier.arx.metric: A class describing a metric and its configuration options.
MetricDM - Klasse in org.deidentifier.arx.metric: This class provides an implementation of the DM metric (non-monotonic).
MetricDM() - Konstruktor für Klasse org.deidentifier.arx.metric.MetricDM: Creates a new instance.
MetricDMStar - Klasse in org.deidentifier.arx.metric: This class provides an implementation of the DM* metric (monotonic variant of the Discernability Metric).
MetricDMStar() - Konstruktor für Klasse org.deidentifier.arx.metric.MetricDMStar: Creates a new instance.
MetricEntropy - Klasse in org.deidentifier.arx.metric: This class provides an efficient implementation of the non-uniform entropy metric.
MetricEntropy() - Konstruktor für Klasse org.deidentifier.arx.metric.MetricEntropy
MetricEntropy(boolean, boolean, boolean) - Konstruktor für Klasse org.deidentifier.arx.metric.MetricEntropy: Creates a new instance.
MetricHeight - Klasse in org.deidentifier.arx.metric: This class provides an implementation of the Height metric.
MetricHeight() - Konstruktor für Klasse org.deidentifier.arx.metric.MetricHeight: Creates a new instance.
MetricMDHeight - Klasse in org.deidentifier.arx.metric.v2: This class provides an implementation of the Height metric.
MetricMDHeight() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDHeight: Creates a new instance.
MetricMDHeight(Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDHeight: Creates a new instance.
MetricMDNMLoss - Klasse in org.deidentifier.arx.metric.v2: This class implements a variant of the Loss metric.
MetricMDNMLoss() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss: Default constructor which treats all transformation methods equally.
MetricMDNMLoss(double, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss: A constructor that allows to define a factor weighting generalization and suppression.
MetricMDNMLoss(Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss: Default constructor which treats all transformation methods equally.
MetricMDNMLossPotentiallyPrecomputed - Klasse in org.deidentifier.arx.metric.v2: This class implements a variant of the Loss metric.
MetricMDNMLossPotentiallyPrecomputed(double) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPotentiallyPrecomputed: Creates a new instance.
MetricMDNMLossPotentiallyPrecomputed(double, double, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPotentiallyPrecomputed: Creates a new instance.
MetricMDNMLossPotentiallyPrecomputed(double, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPotentiallyPrecomputed: Creates a new instance.
MetricMDNMLossPrecomputed - Klasse in org.deidentifier.arx.metric.v2: This class implements a variant of the Loss metric.
MetricMDNMLossPrecomputed() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPrecomputed: Creates a new instance.
MetricMDNMLossPrecomputed(double, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPrecomputed: Creates a new instance.
MetricMDNMLossPrecomputed(Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPrecomputed: Creates a new instance.
MetricMDNMPrecision - Klasse in org.deidentifier.arx.metric.v2: This class provides an implementation of a weighted precision metric as proposed in:
Sweeney, L. (2002).
MetricMDNMPrecision() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision: Creates a new instance.
MetricMDNMPrecision(boolean, boolean, boolean, double, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision: For subclasses.
MetricMDNMPrecision(boolean, boolean, boolean, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision: For subclasses.
MetricMDNMPrecision(double, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision: Creates a new instance.
MetricMDNMPrecision(Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision: Creates a new instance.
MetricMDNUEntropy - Klasse in org.deidentifier.arx.metric.v2: This class provides an implementation of the non-uniform entropy metric.
MetricMDNUEntropy() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropy: Creates a new instance.
MetricMDNUEntropy(double, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropy: Creates a new instance.
MetricMDNUEntropyPotentiallyPrecomputed - Klasse in org.deidentifier.arx.metric.v2: This class provides an implementation of the non-uniform entropy metric.
MetricMDNUEntropyPotentiallyPrecomputed(double, double, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPotentiallyPrecomputed: Creates a new instance.
MetricMDNUEntropyPrecomputed - Klasse in org.deidentifier.arx.metric.v2: This class provides an efficient implementation of the non-uniform entropy metric.
MetricMDNUEntropyPrecomputed() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed: Creates a new instance.
MetricMDNUEntropyPrecomputed(boolean, boolean, boolean, double, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed: Precomputed.
MetricMDNUEntropyPrecomputed(double, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed: Creates a new instance.
MetricMDNUNMEntropy - Klasse in org.deidentifier.arx.metric.v2: This class provides an implementation of the non-uniform entropy metric.
MetricMDNUNMEntropy() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropy: Creates a new instance.
MetricMDNUNMEntropy(double, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropy: Creates a new instance.
MetricMDNUNMEntropyPotentiallyPrecomputed - Klasse in org.deidentifier.arx.metric.v2: This class provides an implementation of the non-uniform entropy metric.
MetricMDNUNMEntropyPotentiallyPrecomputed(double, double, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropyPotentiallyPrecomputed: Creates a new instance.
MetricMDNUNMEntropyPrecomputed - Klasse in org.deidentifier.arx.metric.v2: This class provides an implementation of the non-uniform entropy metric.
MetricMDNUNMEntropyPrecomputed() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropyPrecomputed: Creates a new instance.
MetricMDNUNMEntropyPrecomputed(double, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropyPrecomputed: Creates a new instance.
MetricMDNUNMNormalizedEntropy - Klasse in org.deidentifier.arx.metric.v2: This class provides an implementation of normalized non-uniform entropy.
MetricMDNUNMNormalizedEntropy() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropy: Creates a new instance.
MetricMDNUNMNormalizedEntropy(Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropy: Creates a new instance.
MetricMDNUNMNormalizedEntropyPotentiallyPrecomputed - Klasse in org.deidentifier.arx.metric.v2: This class provides an implementation of normalized non-uniform entropy.
MetricMDNUNMNormalizedEntropyPotentiallyPrecomputed(double) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPotentiallyPrecomputed: Creates a new instance.
MetricMDNUNMNormalizedEntropyPotentiallyPrecomputed(double, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPotentiallyPrecomputed: Creates a new instance.
MetricMDNUNMNormalizedEntropyPrecomputed - Klasse in org.deidentifier.arx.metric.v2: This class provides an efficient implementation of normalized non-uniform entropy.
MetricMDNUNMNormalizedEntropyPrecomputed() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPrecomputed: Creates a new instance.
MetricMDNUNMNormalizedEntropyPrecomputed(Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPrecomputed: Creates a new instance.
MetricMDPrecision - Klasse in org.deidentifier.arx.metric.v2: This class provides an implementation of a weighted precision metric as proposed in:
Sweeney, L. (2002).
MetricMDPrecision() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDPrecision: Creates a new instance.
MetricMDPrecision(double, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDPrecision: Creates a new instance.
MetricMDPrecision(Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDPrecision: Creates a new instance.
MetricMDStatic - Klasse in org.deidentifier.arx.metric.v2: This class provides an implementation of a static metric in which information loss is user-defined per generalization level.
MetricMDStatic(Map<String, List<Double>>) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDStatic: Constructor.
MetricMDStatic(Metric.AggregateFunction, Map<String, List<Double>>) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDStatic: Constructor.
MetricNMEntropy - Klasse in org.deidentifier.arx.metric: This class provides an efficient implementation of a non-monotonic and non-uniform entropy metric.
MetricNMEntropy() - Konstruktor für Klasse org.deidentifier.arx.metric.MetricNMEntropy: Creates a new instance.
MetricNMPrecision - Klasse in org.deidentifier.arx.metric: This class provides an implementation of a weighted precision metric as proposed in:
Sweeney, L. (2002).
MetricNMPrecision() - Konstruktor für Klasse org.deidentifier.arx.metric.MetricNMPrecision: Creates a new instance.
MetricPrecision - Klasse in org.deidentifier.arx.metric: This class provides an implementation of a monotonic weighted precision metric.
MetricPrecision() - Konstruktor für Klasse org.deidentifier.arx.metric.MetricPrecision: Creates a new instance.
MetricSDAECS - Klasse in org.deidentifier.arx.metric.v2: This class provides an implementation of the (normalized) average equivalence class size metric.
MetricSDAECS() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricSDAECS: Creates a new instance.
MetricSDAECS(double) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricSDAECS: Creates a new instance.
MetricSDAECS(int) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricSDAECS: Creates a new instance.
MetricSDClassification - Klasse in org.deidentifier.arx.metric.v2: This class provides an implementation of the classification metric.
MetricSDClassification() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricSDClassification: Creates a new instance.
MetricSDClassification(double) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricSDClassification: Creates a new instance.
MetricSDDiscernability - Klasse in org.deidentifier.arx.metric.v2: This class provides an implementation of the monotonic DM* metric.
MetricSDDiscernability() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricSDDiscernability: Creates a new instance.
MetricSDNMAmbiguity - Klasse in org.deidentifier.arx.metric.v2: This class implements a variant of the Ambiguity metric.
MetricSDNMAmbiguity() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricSDNMAmbiguity: Default constructor.
MetricSDNMDiscernability - Klasse in org.deidentifier.arx.metric.v2: This class provides an implementation of the non-monotonic DM metric.
MetricSDNMDiscernability() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricSDNMDiscernability: Creates a new instance.
MetricSDNMEntropyBasedInformationLoss - Klasse in org.deidentifier.arx.metric.v2: This class implements a the entropy-based information loss model proposed in:
A Game Theoretic Framework for Analyzing Re-Identification Risk.
MetricSDNMEntropyBasedInformationLoss() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss: Creates a new instance.
MetricSDNMEntropyBasedInformationLoss(double) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss: Creates a new instance.
MetricSDNMKLDivergence - Klasse in org.deidentifier.arx.metric.v2: This class implements the KL Divergence metric.
MetricSDNMKLDivergence() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricSDNMKLDivergence: Default constructor.
MetricSDNMPublisherPayout - Klasse in org.deidentifier.arx.metric.v2: This class implements a model which maximizes publisher benefit according to the model proposed in:
A Game Theoretic Framework for Analyzing Re-Identification Risk.
MetricSDNMPublisherPayout(boolean, double) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricSDNMPublisherPayout: Creates a new instance
MetricStatic - Klasse in org.deidentifier.arx.metric: This class provides an implementation of a static metric in which information loss is user-defined per generalization level.
MetricStatic(Map<String, List<Double>>) - Konstruktor für Klasse org.deidentifier.arx.metric.MetricStatic: Constructor.
MetricWeighted<T> - Klasse in org.deidentifier.arx.metric: This class provides an abstract skeleton for the implementation of weighted metrics.
MetricWeighted(boolean, boolean, boolean) - Konstruktor für Klasse org.deidentifier.arx.metric.MetricWeighted: Constructor.
MILLENNIUM - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity: Granularity
min(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.InformationLoss: Retains the minimum of this and other.
min(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensional
min(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.ILScore
min(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.ILSingleDimensional
min(IntervalDouble, IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Min
minimalClassSizeFulfilled - Variable in Klasse org.deidentifier.arx.framework.check.TransformationResult: k-Anonymity sub-criterion.
minLevel - Variable in Klasse org.deidentifier.arx.ARXLattice.LatticeDeserializationContext: Min level
minSize - Variable in Klasse org.deidentifier.arx.criteria.LDiversity: The derived minimal size of a class
MINUS_ONE - Variable in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Interval representing minus one
MINUTE_HOUR_DAY_MONTH_YEAR - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity: Granularity
MONTH_YEAR - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity: Granularity
moveFittestIndividuals(GeneticAlgorithmSubpopulation, int) - Methode in Klasse org.deidentifier.arx.algorithm.GeneticAlgorithmSubpopulation: Moves 'count' Individuals from this subpopulation to 'other'
MRUCache<T> - Klasse in org.deidentifier.arx.framework.check.history: The Class MRUCache.
MRUCache(int) - Konstruktor für Klasse org.deidentifier.arx.framework.check.history.MRUCache: Creates a new instance
MRUCache.MRULinkedListIterator - Klasse in org.deidentifier.arx.framework.check.history: The Class MRULinkedListIterator.
MRUCacheEntry<T> - Klasse in org.deidentifier.arx.framework.check.history: The Class MRUCacheEntry.
MRUCacheEntry(T) - Konstruktor für Klasse org.deidentifier.arx.framework.check.history.MRUCacheEntry: Creates a new instance
MRUCacheEntryMetadata - Klasse in org.deidentifier.arx.framework.check.history: Data associated with a cache entry
MRUCacheEntryMetadata(Transformation<?>) - Konstruktor für Klasse org.deidentifier.arx.framework.check.history.MRUCacheEntryMetadata: Creates a new instance
MRULinkedListIterator(MRUCache<T>) - Konstruktor für Klasse org.deidentifier.arx.framework.check.history.MRUCache.MRULinkedListIterator: Instantiates a new iterator.
mult(IntervalDouble, IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Multiplication
MultiClassLogisticRegression - Klasse in org.deidentifier.arx.aggregates.classification: Implements a classifier
MultiClassLogisticRegression(WrappedBoolean, ClassificationDataSpecification, ClassificationConfigurationLogisticRegression, DataHandleInternal) - Konstruktor für Klasse org.deidentifier.arx.aggregates.classification.MultiClassLogisticRegression: Creates a new instance
MultiClassLogisticRegressionClassificationResult - Klasse in org.deidentifier.arx.aggregates.classification: A classification result
MultiClassNaiveBayes - Klasse in org.deidentifier.arx.aggregates.classification: Implements a classifier
MultiClassNaiveBayes(WrappedBoolean, ClassificationDataSpecification, ClassificationConfigurationNaiveBayes, DataHandleInternal) - Konstruktor für Klasse org.deidentifier.arx.aggregates.classification.MultiClassNaiveBayes: Creates a new instance
MultiClassNaiveBayesClassificationResult - Klasse in org.deidentifier.arx.aggregates.classification: A classification result
MultiClassRandomForest - Klasse in org.deidentifier.arx.aggregates.classification: Implements a classifier
MultiClassRandomForest(WrappedBoolean, ClassificationDataSpecification, ClassificationConfigurationRandomForest, DataHandleInternal) - Konstruktor für Klasse org.deidentifier.arx.aggregates.classification.MultiClassRandomForest: Creates a new instance
MultiClassRandomForestClassificationResult - Klasse in org.deidentifier.arx.aggregates.classification: A classification result
MultiClassZeroR - Klasse in org.deidentifier.arx.aggregates.classification: Implements a classifier
MultiClassZeroR(WrappedBoolean, ClassificationDataSpecification) - Konstruktor für Klasse org.deidentifier.arx.aggregates.classification.MultiClassZeroR: Creates a new instance
MultiClassZeroRClassificationResult - Klasse in org.deidentifier.arx.aggregates.classification: A classification result
MULTINOMIAL - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.ClassificationConfigurationNaiveBayes.Type
multiply(Double, double) - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
multiply(Double, int) - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
multiply(Double, Double) - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
multiply(Long, double) - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
multiply(Long, int) - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
multiply(Long, Long) - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
multiply(String, String) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
multiply(String, String) - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
multiply(String, String) - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
multiply(String, String) - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale: Multiply
multiply(Date, double) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
multiply(Date, int) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
multiply(Date, Date) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
multiply(T, double) - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale: Multiply
multiply(T, int) - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale: Multiply
multiply(T, T) - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale: Multiply
mustStop() - Methode in Klasse org.deidentifier.arx.algorithm.AbstractAlgorithm: Returns whether we have exceeded the allowed number of steps or time.

N

NAME - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier

newInstance() - Methode in Klasse org.deidentifier.arx.DataType.DataTypeDescription

Creates a new instance with default format string and default locale.

newInstance(String) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.AggregateFunctionWithParameter

Creates a new instance with the given parameter.

newInstance(String) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericCommonPrefix

newInstance(String) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericConstant

newInstance(String) - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericSetOfPrefixes

newInstance(String) - Methode in Klasse org.deidentifier.arx.DataType.DataTypeDescription

Creates a new instance with the given format string and default locale.

newInstance(String, Locale) - Methode in Klasse org.deidentifier.arx.DataType.DataTypeDescription

Creates a new instance with the given format string and the given locale.

newInstance(Locale) - Methode in Klasse org.deidentifier.arx.DataType.DataTypeDescription

Creates a new instance with default format and the given locale.

next - Variable in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyEntry

The next element in this bucket.

next - Variable in Klasse org.deidentifier.arx.framework.check.groupify.MetaHashGroupifyEntry

The next element in this bucket.

next - Variable in Klasse org.deidentifier.arx.framework.check.history.MRUCacheEntry

The next.

next() - Methode in Klasse org.deidentifier.arx.common.Groupify.Group

Returns the next entry, null if this is the last entry

next() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionIterator

next() - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyEntry

Return next value

next() - Methode in Klasse org.deidentifier.arx.framework.check.history.MRUCache.MRULinkedListIterator

next() - Methode in Klasse org.deidentifier.arx.framework.lattice.ObjectIterator

Returns the next element

next() - Methode in Klasse org.deidentifier.arx.framework.lattice.ObjectIterator.ObjectIteratorIntArray

next() - Methode in Klasse org.deidentifier.arx.framework.lattice.ObjectIterator.ObjectIteratorLong

next() - Methode in Klasse org.deidentifier.arx.io.ImportAdapterCSV

Returns the next row The returned element is sorted as defined by

Ungültige Referenz

ImportColumn#index

and contains as many elements as there are columns selected to import from ImportAdapter.indexes.

next() - Methode in Klasse org.deidentifier.arx.io.ImportAdapterExcel

Returns the next row The returned element is sorted as defined by

Ungültige Referenz

ImportColumn#index

and contains as many elements as there are columns selected to import from ImportAdapter.indexes.

next() - Methode in Klasse org.deidentifier.arx.io.ImportAdapterJDBC

nextOrdered - Variable in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyEntry

The overall next element in original order.

nextOrdered - Variable in Klasse org.deidentifier.arx.framework.check.groupify.MetaHashGroupifyEntry

The overall next element in original order.

node - Variable in Klasse org.deidentifier.arx.DataHandle

The node.

NodeActionConstant(boolean) - Konstruktor für Klasse org.deidentifier.arx.framework.lattice.DependentAction.NodeActionConstant

Creates a new instance

NodeActionInverse(DependentAction) - Konstruktor für Klasse org.deidentifier.arx.framework.lattice.DependentAction.NodeActionInverse

Creates a new instance

NOMINAL - Enum-Konstante in Enumeration org.deidentifier.arx.DataScale

NON_ANONYMOUS - Enum-Konstante in Enumeration org.deidentifier.arx.framework.check.history.History.StorageStrategy

NONE - Enum-Konstante in Enumeration org.deidentifier.arx.ARXConfiguration.Monotonicity

Non-monotonic

NONE - Enum-Konstante in Enumeration org.deidentifier.arx.ARXPopulationModel.Region

NONE - Enum-Konstante in Enumeration org.deidentifier.arx.DataGeneralizationScheme.GeneralizationDegree

normalizeAggregated(double) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss

Normalizes the aggregate.

normalizeGeneralized(double, int) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss

Normalizes the aggregate.

NORTH_AMERICA - Enum-Konstante in Enumeration org.deidentifier.arx.ARXPopulationModel.Region

NOT_ANONYMOUS - Enum-Konstante in Enumeration org.deidentifier.arx.ARXLattice.Anonymity

NOT_ANONYMOUS

NOT_FULFILLED - Enum-Konstante in Enumeration org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution.PrivacyCondition.State

NULL_VALUE - Statische Variable in Klasse org.deidentifier.arx.DataType

The string representing the NULL value

nullifyArray(Object[]) - Statische Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashTableUtil

Returns the same result as Arrays.fill(array, null)

O

ObjectIterator<T> - Klasse in org.deidentifier.arx.framework.lattice: Wrapper for iterator
ObjectIterator() - Konstruktor für Klasse org.deidentifier.arx.framework.lattice.ObjectIterator
ObjectIterator.ObjectIteratorIntArray - Klasse in org.deidentifier.arx.framework.lattice: Iterator for int arrays
ObjectIterator.ObjectIteratorLong - Klasse in org.deidentifier.arx.framework.lattice: Iterator for longs
ONE - Variable in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Interval representing one
OPTIMAL - Enum-Konstante in Enumeration org.deidentifier.arx.ARXConfiguration.AnonymizationAlgorithm
optimize(DataHandle) - Methode in Klasse org.deidentifier.arx.ARXResult: This method optimizes the given data output with local recoding to improve its utility
optimize(DataHandle, double) - Methode in Klasse org.deidentifier.arx.ARXResult: This method optimizes the given data output with local recoding to improve its utility
optimize(DataHandle, double, ARXListener) - Methode in Klasse org.deidentifier.arx.ARXResult: This method optimizes the given data output with local recoding to improve its utility
optimizeFast(DataHandle, double) - Methode in Klasse org.deidentifier.arx.ARXResult: This method optimizes the given data output with local recoding to improve its utility
optimizeFast(DataHandle, double, double, ARXListener) - Methode in Klasse org.deidentifier.arx.ARXResult: This method optimizes the given data output with local recoding to improve its utility
optimizeFast(DataHandle, double, ARXListener) - Methode in Klasse org.deidentifier.arx.ARXResult: This method optimizes the given data output with local recoding to improve its utility
optimizeIterative(DataHandle, double, int, double) - Methode in Klasse org.deidentifier.arx.ARXResult: This method optimizes the given data output with local recoding to improve its utility
optimizeIterative(DataHandle, double, int, double, ARXListener) - Methode in Klasse org.deidentifier.arx.ARXResult: This method optimizes the given data output with local recoding to improve its utility
optimizeIterativeFast(DataHandle, double) - Methode in Klasse org.deidentifier.arx.ARXResult: This method optimizes the given data output with local recoding to improve its utility
optimizeIterativeFast(DataHandle, double, double, ARXListener) - Methode in Klasse org.deidentifier.arx.ARXResult: This method optimizes the given data output with local recoding to improve its utility
optimizeIterativeFast(DataHandle, double, ARXListener) - Methode in Klasse org.deidentifier.arx.ARXResult: This method optimizes the given data output with local recoding to improve its utility
or() - Methode in Klasse org.deidentifier.arx.DataSelector
or(int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix: ORs the first value of the row with the given value
or(int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset
ORDER_BASED - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilder.Type: Order-based hierarchy
ORDERED_STRING - Statische Variable in Klasse org.deidentifier.arx.DataType: A ordered string data type.
OrderedDistanceTCloseness - Klasse in org.deidentifier.arx.criteria: The t-closeness criterion for ordered attributes.
OrderedDistanceTCloseness(String, double) - Konstruktor für Klasse org.deidentifier.arx.criteria.OrderedDistanceTCloseness: Creates a new instance of the t-closeness criterion for ordered attributes as proposed in: Li N, Li T, Venkatasubramanian S.
ORDINAL - Enum-Konstante in Enumeration org.deidentifier.arx.DataScale
org.deidentifier.arx - Package org.deidentifier.arx: This package provides the public API for the ARX anonymization framework.
org.deidentifier.arx.aggregates - Package org.deidentifier.arx.aggregates: This package provides methods for aggregating data: (1) builders for generalization hierarchies, (2) various methods for analyzing data quality and utility
org.deidentifier.arx.aggregates.classification - Package org.deidentifier.arx.aggregates.classification: This package implements classes for analyzing the effect of anonymization on classification tasks
org.deidentifier.arx.aggregates.quality - Package org.deidentifier.arx.aggregates.quality: This package provides implementations of various quality models which can be used for quality analysis (but not as optimization functions)
org.deidentifier.arx.algorithm - Package org.deidentifier.arx.algorithm: This package provides implementations of search algorithms
org.deidentifier.arx.certificate - Package org.deidentifier.arx.certificate: A package implementing certificate creation
org.deidentifier.arx.certificate.elements - Package org.deidentifier.arx.certificate.elements: A package implementing elements used in certificates
org.deidentifier.arx.certificate.resources - Package org.deidentifier.arx.certificate.resources: A package containing resources used for creating certificates
org.deidentifier.arx.common - Package org.deidentifier.arx.common: A package containing commonly used classes
org.deidentifier.arx.criteria - Package org.deidentifier.arx.criteria: This package implements different variants of class-based privacy criteria, such as k-anonymity, l-diversity, t-closeness and d-presence.
org.deidentifier.arx.dp - Package org.deidentifier.arx.dp: This package provides basic functionalities required for ARX's Differential Privacy implementation.
org.deidentifier.arx.exceptions - Package org.deidentifier.arx.exceptions: A package containing exceptions that may be thrown by ARX
org.deidentifier.arx.framework - Package org.deidentifier.arx.framework: This package contains subpackages that implement the ARX anonymization framework
org.deidentifier.arx.framework.check - Package org.deidentifier.arx.framework.check: This package implements the core functionality of the ARX framework, i.e., a highly efficient check for k-anonymity
org.deidentifier.arx.framework.check.distribution - Package org.deidentifier.arx.framework.check.distribution: This package implements means for efficiently maintaining distributions of values for each equivalence class
org.deidentifier.arx.framework.check.groupify - Package org.deidentifier.arx.framework.check.groupify: This package implements different hash-groupify operators.
org.deidentifier.arx.framework.check.history - Package org.deidentifier.arx.framework.check.history: This package implements the 'history' optimization.
org.deidentifier.arx.framework.check.transformer - Package org.deidentifier.arx.framework.check.transformer: This package provides several transformers that efficiently implement the 'projection' optimization.
org.deidentifier.arx.framework.data - Package org.deidentifier.arx.framework.data: This package implements data management, i.e., encoding and representing input data, output data and generalization hierarchies
org.deidentifier.arx.framework.lattice - Package org.deidentifier.arx.framework.lattice: This package provides the internal generalization lattice
org.deidentifier.arx.io - Package org.deidentifier.arx.io: This package provides basic input/output functionality
org.deidentifier.arx.metric - Package org.deidentifier.arx.metric: Package providing access to quality models
org.deidentifier.arx.metric.v2 - Package org.deidentifier.arx.metric.v2: Main package implementing quality models
org.deidentifier.arx.reliability - Package org.deidentifier.arx.reliability: A package containing code that is needed to support reliability of the privacy models implemented
org.deidentifier.arx.risk - Package org.deidentifier.arx.risk: This package provides methods for risk analyses
org.deidentifier.arx.risk.resources.us - Package org.deidentifier.arx.risk.resources.us: A package containing resources needed for risk analyses
OTHER - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier
OUTLIER_MASK - Statische Variable in Klasse org.deidentifier.arx.framework.data.Data: The outliers mask.
outputGeneralized - Variable in Klasse org.deidentifier.arx.framework.check.Transformer: The buffer.

P

pack() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.Distribution: Packs the frequency table; removes null values and generates sortedElements and sortedFrequency arrays.
pack(double, double) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityConfigurationRangeParser: Pack function
pack(String, String) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityConfigurationRangeParser: Pack function
ParameterCalculation - Klasse in org.deidentifier.arx.dp: Implements the parameter calculation for differential privacy as proposed in: Bild R, Kuhn KA, Prasser F.
ParameterCalculation(double, double) - Konstruktor für Klasse org.deidentifier.arx.dp.ParameterCalculation: Constructor
ParameterTranslation - Klasse in org.deidentifier.arx.reliability: Class supporting parameter calculations and translations.
ParameterTranslation() - Konstruktor für Klasse org.deidentifier.arx.reliability.ParameterTranslation
parse(String) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
parse(String) - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
parse(String) - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
parse(String) - Methode in Klasse org.deidentifier.arx.DataType.ARXOrderedString
parse(String) - Methode in Klasse org.deidentifier.arx.DataType.ARXString
parse(String) - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale: Parse
parse(String) - Methode in Klasse org.deidentifier.arx.DataType: Converts a string into a value.
parse(String) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionIterator: Parses the given value
parse(ARXAnonymizer) - Methode in Klasse org.deidentifier.arx.ARXAnonymizer: Parses the settings provided by the given instance
parse(ARXClassificationConfiguration<?>) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression
parse(ARXClassificationConfiguration<?>) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationNaiveBayes
parse(ARXClassificationConfiguration<?>) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest
parse(ARXClassificationConfiguration<?>) - Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration: Parses another configuration
parse(ImportAdapter) - Methode in Klasse org.deidentifier.arx.DataDefinition: Parses the configuration of the import adapter.
PARTIAL - Enum-Konstante in Enumeration org.deidentifier.arx.ARXConfiguration.Monotonicity: Partially monotonic
pcount - Variable in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyEntry: The number of elements in this class.
performMicroaggregation(DataAggregationInformation, Dictionary) - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupify: Returns a data object with microaggregation performed
performSuppression() - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupify: Suppresses all records in the output dataset which
(a) do not satisfy privacy requirements, or
(b) are not included in the research subset
PHOTOGRAPH - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier
PI - Variable in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Interval containing pi
PITMAN - Enum-Konstante in Enumeration org.deidentifier.arx.risk.RiskModelPopulationUniqueness.PopulationUniquenessModel
PLAIN - Enum-Konstante in Enumeration org.deidentifier.arx.certificate.elements.ElementText.TextStyle
POISSON - Enum-Konstante in Enumeration org.deidentifier.arx.criteria.KMap.CellSizeEstimator: Poisson distribution
PopulationUniqueness - Klasse in org.deidentifier.arx.criteria: This criterion ensures that the population uniqueness falls below a given threshold.
PopulationUniqueness(double, ARXPopulationModel) - Konstruktor für Klasse org.deidentifier.arx.criteria.PopulationUniqueness: Creates a new instance of this criterion.
PopulationUniqueness(double, ARXPopulationModel, ARXSolverConfiguration) - Konstruktor für Klasse org.deidentifier.arx.criteria.PopulationUniqueness: Creates a new instance of this criterion.
PopulationUniqueness(double, RiskModelPopulationUniqueness.PopulationUniquenessModel, ARXPopulationModel) - Konstruktor für Klasse org.deidentifier.arx.criteria.PopulationUniqueness: Creates a new instance of this criterion.
PopulationUniqueness(double, RiskModelPopulationUniqueness.PopulationUniquenessModel, ARXPopulationModel, ARXSolverConfiguration) - Konstruktor für Klasse org.deidentifier.arx.criteria.PopulationUniqueness: Creates a new instance of this criterion.
pow(IntervalDouble, int) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Pow
prepare(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilder: Prepares the builder.
prepare(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate: Prepares the builder.
prepare(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased: Prepares the builder.
prepare(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased: Prepares the builder.
prepare(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased: Prepares the builder.
prepare(String[]) - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationCSV: Sets the indexes based on the header.
prepare(Row) - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationExcel: Sets the indexes based on the header.
preparedStartValues(double[][]) - Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration
prepareGroups() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased: Tells the implementing class to prepare the generalization process.
prepareGroups() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased
prepareGroups() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderOrderBased
prev - Variable in Klasse org.deidentifier.arx.framework.check.history.MRUCacheEntry: The prev.
PRIORITY_BASED - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilder.Type: Priority-based hierarchy
PrivacyCriterion - Klasse in org.deidentifier.arx.criteria: An abstract base class for privacy criteria.
PrivacyCriterion(boolean, boolean) - Konstruktor für Klasse org.deidentifier.arx.criteria.PrivacyCriterion: Instantiates a new criterion.
privacyModelFulfilled - Variable in Klasse org.deidentifier.arx.framework.check.TransformationResult: Overall anonymity.
PROBABLY_ANONYMOUS - Enum-Konstante in Enumeration org.deidentifier.arx.ARXLattice.Anonymity: PROBABLY_ANONYMOUS
PROBABLY_NOT_ANONYMOUS - Enum-Konstante in Enumeration org.deidentifier.arx.ARXLattice.Anonymity: PROBABLY_NOT_ANONYMOUS
probe(int[]) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.IntArrayDictionary: Probes the dictionary and either inserts a new entry index or returns the corresponding entry index.
probe(int, String) - Methode in Klasse org.deidentifier.arx.framework.data.Dictionary: Returns the registered value if present, null otherwise.
processAll() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: Process complete input dataset.
processAll() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer01
processAll() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer02
processAll() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer03
processAll() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer04
processAll() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer05
processAll() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer06
processAll() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer07
processAll() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer08
processAll() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer09
processAll() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer10
processAll() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer11
processAll() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer12
processAll() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer13
processAll() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer14
processAll() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer15
processAll() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.TransformerAll
processGroupify() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: Process groupify.
processGroupify() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer01
processGroupify() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer02
processGroupify() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer03
processGroupify() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer04
processGroupify() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer05
processGroupify() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer06
processGroupify() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer07
processGroupify() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer08
processGroupify() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer09
processGroupify() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer10
processGroupify() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer11
processGroupify() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer12
processGroupify() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer13
processGroupify() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer14
processGroupify() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer15
processGroupify() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.TransformerAll
processSnapshot() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: Process snapshot.
processSnapshot() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer01
processSnapshot() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer02
processSnapshot() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer03
processSnapshot() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer04
processSnapshot() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer05
processSnapshot() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer06
processSnapshot() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer07
processSnapshot() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer08
processSnapshot() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer09
processSnapshot() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer10
processSnapshot() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer11
processSnapshot() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer12
processSnapshot() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer13
processSnapshot() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer14
processSnapshot() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.Transformer15
processSnapshot() - Methode in Klasse org.deidentifier.arx.framework.check.transformer.TransformerAll
PRODUCTION_RELEASE - Statische Variable in Klasse org.deidentifier.arx.ARXAnonymizer: Is this a production release?
ProfitabilityJournalist - Klasse in org.deidentifier.arx.criteria: Privacy model for the game theoretic approach proposed in: A Game Theoretic Framework for Analyzing Re-Identification Risk.
ProfitabilityJournalist(DataSubset) - Konstruktor für Klasse org.deidentifier.arx.criteria.ProfitabilityJournalist: Creates a new instance of game theoretic approach proposed in: A Game Theoretic Framework for Analyzing Re-Identification Risk.
ProfitabilityJournalistNoAttack - Klasse in org.deidentifier.arx.criteria: Privacy model for the "no-attack" variant of the game theoretic approach proposed in: A Game Theoretic Framework for Analyzing Re-Identification Risk.
ProfitabilityJournalistNoAttack(DataSubset) - Konstruktor für Klasse org.deidentifier.arx.criteria.ProfitabilityJournalistNoAttack: Creates a new instance
ProfitabilityProsecutor - Klasse in org.deidentifier.arx.criteria: Privacy model for the game theoretic approach proposed in: A Game Theoretic Framework for Analyzing Re-Identification Risk.
ProfitabilityProsecutor() - Konstruktor für Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutor: Creates a new instance of game theoretic approach proposed in: A Game Theoretic Framework for Analyzing Re-Identification Risk.
ProfitabilityProsecutorNoAttack - Klasse in org.deidentifier.arx.criteria: Privacy model for the "no-attack" variant of the game theoretic approach proposed in: A Game Theoretic Framework for Analyzing Re-Identification Risk.
ProfitabilityProsecutorNoAttack() - Konstruktor für Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack: Creates a new instance
progress(double) - Methode in Klasse org.deidentifier.arx.algorithm.AbstractAlgorithm: Propagate progress to listeners
progress(double) - Methode in Schnittstelle org.deidentifier.arx.ARXListener: Reports a progress value in [0, 1]
projection - Variable in Klasse org.deidentifier.arx.framework.check.TransformationCheckerStateMachine.Transition: Which columns can be projected away?.
properties - Variable in Klasse org.deidentifier.arx.framework.check.TransformedData: The properties
ProsecutorRisk(double, double, double, double, double) - Konstruktor für Klasse org.deidentifier.arx.risk.RiskModelSampleSummary.ProsecutorRisk: Creates a new instance
provides(DataScale) - Methode in Enumeration org.deidentifier.arx.DataScale: Returns whether this scale provides at least the properties of the given scale.
prune(Transformation<?>, boolean) - Methode in Klasse org.deidentifier.arx.algorithm.LIGHTNINGAlgorithm: Returns whether we can prune this Transformation
psi(int) - Methode in Enumeration org.deidentifier.arx.criteria.EntropyLDiversity.EntropyEstimator: The logarithm substitute of the current estimator The difference in estimating the entropy by the naive Shannon or Grassberger estimator is actually using log or G for \psi in the entropy formula $H = \psi(N) - 1/N \sum n \psi(n)$ where N is the size of the set and the sum goes over all values of the sensitive attribute, n is the count of the current sensitive attribute
put(int, double) - Methode in Klasse org.deidentifier.arx.common.FastIntDoubleMap: Puts a value into this map

Q

QualityAggregateFunction - Klasse in org.deidentifier.arx.aggregates.quality: Aggregate function for multi-dimensional quality measures
QualityConfiguration - Klasse in org.deidentifier.arx.aggregates.quality: Basic configuration for quality models
QualityConfiguration() - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityConfiguration
QualityConfigurationRangeParser - Klasse in org.deidentifier.arx.aggregates.quality: Parser for ranges
QualityConfigurationRangeParser() - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityConfigurationRangeParser
QualityDomainShare - Schnittstelle in org.deidentifier.arx.aggregates.quality: Base class for representing domain shares in this package
QualityDomainShareRaw - Klasse in org.deidentifier.arx.aggregates.quality: Raw domain-share (unencoded).
QualityDomainShareRaw(String[][], String) - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityDomainShareRaw: Creates a new instance
QualityDomainShareRedaction - Klasse in org.deidentifier.arx.aggregates.quality: This class represents a set of domain shares for an attribute.
QualityDomainShareRedaction(HierarchyBuilderRedactionBased<?>) - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityDomainShareRedaction: Creates a new set of domain shares derived from the given functional redaction-based hierarchy.
QualityMeasure - Klasse in org.deidentifier.arx.aggregates.quality: Base class for quality measures.
QualityMeasure(boolean) - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityMeasure: Creates a new instance
QualityMeasureColumnOriented - Klasse in org.deidentifier.arx.aggregates.quality: Quality measures for individual attributes.
QualityMeasureColumnOriented() - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityMeasureColumnOriented: Creates an empty instance
QualityMeasureColumnOriented(DataHandle, int[]) - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityMeasureColumnOriented: Creates a new instance for input data
QualityMeasureColumnOriented(DataHandle, int[], double[], double[], double[]) - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityMeasureColumnOriented: Creates a new instance
QualityMeasureRowOriented - Klasse in org.deidentifier.arx.aggregates.quality: A measure for the complete dataset.
QualityMeasureRowOriented() - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityMeasureRowOriented: Creates an empty instance
QualityMeasureRowOriented(double, double, double) - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityMeasureRowOriented: Creates a new instance
QualityMetadata<T> - Klasse in org.deidentifier.arx.metric.v2: A class encapsulating information about data quality
QualityModelColumnOrientedLoss - Klasse in org.deidentifier.arx.aggregates.quality: Implementation of the Loss measure, as proposed in:

Iyengar, V.: Transforming data to satisfy privacy constraints.
QualityModelColumnOrientedLoss(WrappedBoolean, WrappedInteger, int, DataHandle, DataHandle, int, int, Groupify<TupleWrapper>, Groupify<TupleWrapper>, String[][][], QualityDomainShare[], int[], QualityConfiguration) - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss: Creates a new instance
QualityModelColumnOrientedNonUniformEntropy - Klasse in org.deidentifier.arx.aggregates.quality: Implementation of the Non-Uniform Entropy measure that can handle local recoding.
QualityModelColumnOrientedNonUniformEntropy(WrappedBoolean, WrappedInteger, int, DataHandle, DataHandle, int, int, Groupify<TupleWrapper>, Groupify<TupleWrapper>, String[][][], QualityDomainShare[], int[], QualityConfiguration) - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy: Creates a new instance
QualityModelColumnOrientedPrecision - Klasse in org.deidentifier.arx.aggregates.quality: Implementation of the Precision measure, as proposed in:

L.
QualityModelColumnOrientedPrecision(WrappedBoolean, WrappedInteger, int, DataHandle, DataHandle, int, int, Groupify<TupleWrapper>, Groupify<TupleWrapper>, String[][][], QualityDomainShare[], int[], QualityConfiguration) - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision: Creates a new instance
QualityModelColumnOrientedSquaredError - Klasse in org.deidentifier.arx.aggregates.quality: Implementation of the mean squared error for individual columns
QualityModelColumnOrientedSquaredError(WrappedBoolean, WrappedInteger, int, DataHandle, DataHandle, int, int, Groupify<TupleWrapper>, Groupify<TupleWrapper>, String[][][], QualityDomainShare[], int[], QualityConfiguration) - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError: Creates a new instance
QualityModelRowOrientedAECS - Klasse in org.deidentifier.arx.aggregates.quality: Implementation of the AECS measure, as proposed in:

K.
QualityModelRowOrientedAECS(WrappedBoolean, WrappedInteger, int, DataHandle, DataHandle, int, int, Groupify<TupleWrapper>, Groupify<TupleWrapper>, String[][][], QualityDomainShare[], int[], QualityConfiguration) - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS: Creates a new instance
QualityModelRowOrientedAmbiguity - Klasse in org.deidentifier.arx.aggregates.quality: Implementation of the Ambiguity measure, as described in:

Goldberger, Tassa: "Efficient Anonymizations with Enhanced Utility" Trans Data Priv
QualityModelRowOrientedAmbiguity(WrappedBoolean, WrappedInteger, int, DataHandle, DataHandle, int, int, Groupify<TupleWrapper>, Groupify<TupleWrapper>, String[][][], QualityDomainShare[], int[], QualityConfiguration) - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity: Creates a new instance
QualityModelRowOrientedDiscernibility - Klasse in org.deidentifier.arx.aggregates.quality: Implementation of the Discernibility measure, as proposed in:

R.
QualityModelRowOrientedDiscernibility(WrappedBoolean, WrappedInteger, int, DataHandle, DataHandle, int, int, Groupify<TupleWrapper>, Groupify<TupleWrapper>, String[][][], QualityDomainShare[], int[], QualityConfiguration) - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility: Creates a new instance
QualityModelRowOrientedSquaredError - Klasse in org.deidentifier.arx.aggregates.quality: Implementation of the Sum of Squared Errors introduced in the supplementary material to:
D.
QualityModelRowOrientedSquaredError(WrappedBoolean, WrappedInteger, int, DataHandle, DataHandle, int, int, Groupify<TupleWrapper>, Groupify<TupleWrapper>, String[][][], QualityDomainShare[], int[], QualityConfiguration) - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError: Creates a new instance
QualityModelRowOrientedSSESST - Klasse in org.deidentifier.arx.aggregates.quality: SSE / SST as described in Solanas, Agusti, Antoni Martinez-Balleste, and J.
QualityModelRowOrientedSSESST(WrappedBoolean, WrappedInteger, int, DataHandle, DataHandle, int, int, Groupify<TupleWrapper>, Groupify<TupleWrapper>, String[][][], QualityDomainShare[], int[], QualityConfiguration) - Konstruktor für Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST: Creates a new instance
QUARTER - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity: Granularity
QUARTER_YEAR - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity: Granularity
QUASI_IDENTIFYING_ATTRIBUTE - Statische Variable in Klasse org.deidentifier.arx.AttributeType: Represents a quasi-identifying attribute.

R

Range(U, U, U) - Konstruktor für Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.Range: Creates a new instance.
RANK - Enum-Konstante in Enumeration org.deidentifier.arx.metric.Metric.AggregateFunction: Rank: Ordered list of values, compared lexicographically.
ratio(Double, Double) - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
ratio(Long, Long) - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
ratio(Date, Date) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
ratio(T, T) - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale: Divide
RATIO - Enum-Konstante in Enumeration org.deidentifier.arx.DataScale
read() - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyEntry: Initialize iterator
read(DataDefinition) - Methode in Klasse org.deidentifier.arx.DataDefinition: Reads all settings from the given definition
readLongBigFractionOpenHashMap(ObjectInputStream) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.IO: Reads a LongObjectOpenHashMap of the type BigFraction from the stream.
readLongDoubleOpenHashMap(ObjectInputStream) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.IO: Reads a LongDoubleOpenHashMap from the stream.
RecursiveCLDiversity - Klasse in org.deidentifier.arx.criteria: The recursive-(c,l)-diversity criterion.
RecursiveCLDiversity(String, double, int) - Konstruktor für Klasse org.deidentifier.arx.criteria.RecursiveCLDiversity: Creates a new instance of the recursive-(c,l)-diversity criterion as proposed in: Machanavajjhala A, Kifer D, Gehrke J.
REDACTION_BASED - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilder.Type: Redaction-based hierarchy
register(int, String) - Methode in Klasse org.deidentifier.arx.framework.data.Dictionary: Registers a new string at the dictionary.
registerAll(int, Dictionary, int) - Methode in Klasse org.deidentifier.arx.framework.data.Dictionary: Merges this dictionary with another dictionary.
registerSpecialValues() - Methode in Klasse org.deidentifier.arx.framework.data.Dictionary: Registers special values
registry - Variable in Klasse org.deidentifier.arx.DataHandle: The current registry.
RELATIVE_THRESHOLD_PRECISION - Statische Variable in Klasse org.deidentifier.arx.reliability.ParameterTranslation: Relative threshold precision
relativeTo(InformationLoss<?>, InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.InformationLoss: Returns the value relative to the other instance.
relativeTo(InformationLoss<?>, InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensional
relativeTo(InformationLoss<?>, InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensionalReduced
relativeTo(InformationLoss<?>, InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalRank
relativeTo(InformationLoss<?>, InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.ILScore
relativeTo(InformationLoss<?>, InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.metric.v2.ILSingleDimensional
release() - Methode in Klasse org.deidentifier.arx.DataHandle: Releases this handle and all associated resources.
releaseBuffer(DataHandleOutput) - Methode in Klasse org.deidentifier.arx.ARXResult: Releases the buffer.
ReliabilityException - Ausnahmeklasse in org.deidentifier.arx.exceptions: This exception is raised if a privacy or risk model cannot be reliably implemented.
ReliabilityException() - Konstruktor für Ausnahmeklasse org.deidentifier.arx.exceptions.ReliabilityException: Constructor
ReliabilityException(Exception) - Konstruktor für Ausnahmeklasse org.deidentifier.arx.exceptions.ReliabilityException: Constructor
ReliabilityException(String) - Konstruktor für Ausnahmeklasse org.deidentifier.arx.exceptions.ReliabilityException: Constructor
ReliabilityException(String, Throwable) - Konstruktor für Ausnahmeklasse org.deidentifier.arx.exceptions.ReliabilityException: Constructor
remove() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.DistributionIterator
remove() - Methode in Klasse org.deidentifier.arx.framework.check.history.MRUCache.MRULinkedListIterator
remove() - Methode in Klasse org.deidentifier.arx.io.ImportAdapterCSV: Dummy.
remove() - Methode in Klasse org.deidentifier.arx.io.ImportAdapterExcel: Dummy.
remove() - Methode in Klasse org.deidentifier.arx.io.ImportAdapterJDBC: Dummy.
remove(int) - Methode in Klasse org.deidentifier.arx.RowSet: Unsets a bit
REMOVE_OUTLIER_MASK - Statische Variable in Klasse org.deidentifier.arx.framework.data.Data: The inverse outliers mask.
removeCriterion(PrivacyCriterion) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Removes the given criterion.
removeHead() - Methode in Klasse org.deidentifier.arx.framework.check.history.MRUCache: Removes the head.
removeScalingFunction(String) - Methode in Klasse org.deidentifier.arx.ARXFeatureScaling: Remove the scaling function, if any
render() - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Renders this object
render() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode: Renders this object
render() - Methode in Klasse org.deidentifier.arx.ARXLattice: Renders this object
render() - Methode in Klasse org.deidentifier.arx.criteria.AverageReidentificationRisk
render() - Methode in Klasse org.deidentifier.arx.criteria.BasicBLikeness
render() - Methode in Klasse org.deidentifier.arx.criteria.DDisclosurePrivacy
render() - Methode in Klasse org.deidentifier.arx.criteria.DistinctLDiversity
render() - Methode in Klasse org.deidentifier.arx.criteria.DPresence
render() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy
render() - Methode in Klasse org.deidentifier.arx.criteria.EnhancedBLikeness
render() - Methode in Klasse org.deidentifier.arx.criteria.EntropyLDiversity
render() - Methode in Klasse org.deidentifier.arx.criteria.EqualDistanceTCloseness
render() - Methode in Klasse org.deidentifier.arx.criteria.HierarchicalDistanceTCloseness
render() - Methode in Klasse org.deidentifier.arx.criteria.Inclusion
render() - Methode in Klasse org.deidentifier.arx.criteria.KAnonymity
render() - Methode in Klasse org.deidentifier.arx.criteria.KMap
render() - Methode in Klasse org.deidentifier.arx.criteria.OrderedDistanceTCloseness
render() - Methode in Klasse org.deidentifier.arx.criteria.PopulationUniqueness
render() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion: Renders the privacy model
render() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalist
render() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalistNoAttack
render() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutor
render() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack
render() - Methode in Klasse org.deidentifier.arx.criteria.RecursiveCLDiversity
render() - Methode in Klasse org.deidentifier.arx.criteria.SampleUniqueness
render() - Methode in Klasse org.deidentifier.arx.DataDefinition: Renders this object
render() - Methode in Klasse org.deidentifier.arx.DataHandle: Renders this object
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.Metric: Renders the privacy model
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricAECS
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricDM
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricDMStar
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricEntropy
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricHeight
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricNMEntropy
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricNMPrecision
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricPrecision
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.MetricStatic
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDHeight
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPotentiallyPrecomputed
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPrecomputed
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropy
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPotentiallyPrecomputed
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropy
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropyPotentiallyPrecomputed
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropyPrecomputed
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropy
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPotentiallyPrecomputed
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPrecomputed
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDPrecision
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDStatic
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDAECS
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDClassification
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDDiscernability
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMAmbiguity
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMDiscernability
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMKLDivergence
render(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMPublisherPayout
render(Document, int, CertificateStyle) - Methode in Schnittstelle org.deidentifier.arx.certificate.elements.Element: Renders the element to the given target
render(Document, int, CertificateStyle) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementData
render(Document, int, CertificateStyle) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementList
render(Document, int, CertificateStyle) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementPageBreak
render(Document, int, CertificateStyle) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementSubtitle
render(Document, int, CertificateStyle) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementText
render(Document, int, CertificateStyle) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementTitle
render(Document, int, CertificateStyle) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementVerticalSpace
replace(int, String, String) - Methode in Klasse org.deidentifier.arx.DataHandle: Replaces the original value with the replacement in the given column.
replace(int, String, String) - Methode in Klasse org.deidentifier.arx.DataHandleOutput
replace(int, String, String) - Methode in Klasse org.deidentifier.arx.DataHandleSubset
representative - Variable in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyEntry: The index of the representative row.
REQUIREMENT_COUNTER - Statische Variable in Klasse org.deidentifier.arx.ARXConfiguration: Do the criteria require a counter per equivalence class.
REQUIREMENT_DISTRIBUTION - Statische Variable in Klasse org.deidentifier.arx.ARXConfiguration: Do the criteria require distributions of sensitive values in the equivalence classes.
REQUIREMENT_SECONDARY_COUNTER - Statische Variable in Klasse org.deidentifier.arx.ARXConfiguration: Do the criteria require a second counter.
requires(int) - Methode in Klasse org.deidentifier.arx.ARXConfiguration.ARXConfigurationInternal: Convenience method for checking the requirements.
requires(int) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Convenience method for checking the requirements.
reset() - Methode in Klasse org.deidentifier.arx.framework.check.history.History: Clears the history.
reset() - Methode in Klasse org.deidentifier.arx.framework.check.TransformationChecker: Frees memory
reset() - Methode in Klasse org.deidentifier.arx.framework.check.TransformationCheckerStateMachine: Resets the state machine.
resetAttributeType(String) - Methode in Klasse org.deidentifier.arx.DataDefinition: Resets the according setting
resetHierarchy(String) - Methode in Klasse org.deidentifier.arx.DataDefinition: Resets the according setting
resetHierarchyBuilder(String) - Methode in Klasse org.deidentifier.arx.DataDefinition: Resets the according setting
resetMaximumGeneralization(String) - Methode in Klasse org.deidentifier.arx.DataDefinition: Resets the according setting
resetMicroAggregationFunction(String) - Methode in Klasse org.deidentifier.arx.DataDefinition: Resets the according setting
resetMinimumGeneralization(String) - Methode in Klasse org.deidentifier.arx.DataDefinition: Resets the according setting
reverse(int[]) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Reverses the given array
RIGHT_TO_LEFT - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased.Order: Order
RiskBasedCriterion - Klasse in org.deidentifier.arx.criteria: Abstract class for criteria that ensure that a certain risk measure is lower than or equal to a given threshold
RiskBasedCriterion(boolean, boolean, double) - Konstruktor für Klasse org.deidentifier.arx.criteria.RiskBasedCriterion: Creates a new instance of this criterion.
RiskEstimateBuilder - Klasse in org.deidentifier.arx.risk: A builder for risk estimates
RiskEstimateBuilder(ARXPopulationModel, DataHandleInternal, Set<String>, ARXConfiguration) - Konstruktor für Klasse org.deidentifier.arx.risk.RiskEstimateBuilder: Creates a new instance
RiskEstimateBuilder(ARXPopulationModel, DataHandleInternal, Set<String>, ARXSolverConfiguration, ARXConfiguration) - Konstruktor für Klasse org.deidentifier.arx.risk.RiskEstimateBuilder: Creates a new instance
RiskEstimateBuilder(ARXPopulationModel, DataHandleInternal, RiskModelHistogram, ARXConfiguration) - Konstruktor für Klasse org.deidentifier.arx.risk.RiskEstimateBuilder: Creates a new instance
RiskEstimateBuilder(ARXPopulationModel, DataHandleInternal, RiskModelHistogram, ARXSolverConfiguration, ARXConfiguration) - Konstruktor für Klasse org.deidentifier.arx.risk.RiskEstimateBuilder: Creates a new instance
RiskEstimateBuilderInterruptible - Klasse in org.deidentifier.arx.risk: A builder for risk estimates, interruptible
RiskModelAttributes - Klasse in org.deidentifier.arx.risk: A class for analyzing attribute-related risks.
RiskModelAttributes.QuasiIdentifierRisk - Klasse in org.deidentifier.arx.risk: Risks associated with a certain quasi-identifier
RiskModelCostBenefit - Klasse in org.deidentifier.arx.risk: This class implements a cost/benefit analysis following the game-theoretic approach proposed in:
A Game Theoretic Framework for Analyzing Re-Identification Risk.
RiskModelCostBenefit(ARXCostBenefitConfiguration) - Konstruktor für Klasse org.deidentifier.arx.risk.RiskModelCostBenefit: Creates a new instance
RiskModelHistogram - Klasse in org.deidentifier.arx.risk: This class encapsulates information about equivalence classes in a data set
RiskModelHistogram(IntIntOpenHashMap) - Konstruktor für Klasse org.deidentifier.arx.risk.RiskModelHistogram: Creates a new instance from the given distribution.
RiskModelPopulationUniqueness - Klasse in org.deidentifier.arx.risk: Class for risks based on population uniqueness.
RiskModelPopulationUniqueness(ARXPopulationModel, RiskModelHistogram, ARXSolverConfiguration) - Konstruktor für Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness: Creates a new instance
RiskModelPopulationUniqueness.PopulationUniquenessModel - Enum in org.deidentifier.arx.risk: The statistical model used for computing Dankar's estimate.
RiskModelSampleRiskDistribution - Klasse in org.deidentifier.arx.risk: Class representing the distribution of risks in the sample
RiskModelSampleRiskDistribution(RiskModelHistogram, ARXConfiguration, boolean) - Konstruktor für Klasse org.deidentifier.arx.risk.RiskModelSampleRiskDistribution: Creates a new instance
RiskModelSampleRisks - Klasse in org.deidentifier.arx.risk: Class for analyzing re-identification risks of the current sample and mixed risks which have been derived from privacy models
RiskModelSampleRisks(RiskModelHistogram, ARXConfiguration, boolean) - Konstruktor für Klasse org.deidentifier.arx.risk.RiskModelSampleRisks: Creates a new instance
RiskModelSampleSummary - Klasse in org.deidentifier.arx.risk: This class implements risk measures as proposed by El Emam in "Guide to the De-Identification of Personal Health Information", "Measuring the Probability of Re-Identification"
RiskModelSampleSummary(DataHandleInternal, Set<String>, double, String, WrappedBoolean, WrappedInteger) - Konstruktor für Klasse org.deidentifier.arx.risk.RiskModelSampleSummary: Creates a new instance
RiskModelSampleSummary(DataHandleInternal, Set<String>, double, WrappedBoolean, WrappedInteger) - Konstruktor für Klasse org.deidentifier.arx.risk.RiskModelSampleSummary: Creates a new instance
RiskModelSampleSummary.JournalistRisk - Klasse in org.deidentifier.arx.risk: Journalist risk
RiskModelSampleSummary.MarketerRisk - Klasse in org.deidentifier.arx.risk: Marketer risk
RiskModelSampleSummary.ProsecutorRisk - Klasse in org.deidentifier.arx.risk: Prosecutor risk
RiskModelSampleSummary.RiskSummary - Klasse in org.deidentifier.arx.risk: A set of derived risk estimates
RiskModelSampleUniqueness - Klasse in org.deidentifier.arx.risk: Class for risks based on sample uniqueness
RiskModelSampleUniqueness(RiskModelHistogram) - Konstruktor für Klasse org.deidentifier.arx.risk.RiskModelSampleUniqueness: Creates a new instance
RiskModelSampleWildcard - Klasse in org.deidentifier.arx.risk: This class implements risk measures as proposed by El Emam in "Guide to the De-Identification of Personal Health Information", "Measuring the Probability of Re-Identification" considering suppressed values as a wildcard
RiskModelSampleWildcard(DataHandleInternal, Set<String>, double, String, WrappedBoolean, WrappedInteger) - Konstruktor für Klasse org.deidentifier.arx.risk.RiskModelSampleWildcard: Creates a new instance
RiskSummary(double, double, double, double, double) - Konstruktor für Klasse org.deidentifier.arx.risk.RiskModelSampleSummary.RiskSummary: Creates a new instance
RollbackRequiredException - Ausnahmeklasse in org.deidentifier.arx.exceptions: This exception is raised if the method that was called has left output data in an inconsistent state that may breach privacy.
RollbackRequiredException() - Konstruktor für Ausnahmeklasse org.deidentifier.arx.exceptions.RollbackRequiredException: Constructor
RollbackRequiredException(String, Throwable) - Konstruktor für Ausnahmeklasse org.deidentifier.arx.exceptions.RollbackRequiredException: Constructor
ROLLUP - Enum-Konstante in Enumeration org.deidentifier.arx.framework.check.TransformationCheckerStateMachine.TransitionType: Apply the roll-up optimization.
ROMAN - Enum-Konstante in Enumeration org.deidentifier.arx.certificate.CertificateStyle.ListStyle
round(double) - Methode in Klasse org.deidentifier.arx.metric.Metric: Ignore anything but the first DIGITS digits.
row - Variable in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyEntry: The key of this class.
row - Variable in Klasse org.deidentifier.arx.framework.check.groupify.MetaHashGroupifyEntry: The key of this class.
RowSet - Klasse in org.deidentifier.arx: A set of rows.

S

sample() - Methode in Klasse org.deidentifier.arx.dp.ExponentialMechanism: Returns a random sampled value
SampleBasedCriterion - Klasse in org.deidentifier.arx.criteria: An abstract base class for sample-based privacy criteria.
SampleBasedCriterion(boolean, boolean) - Konstruktor für Klasse org.deidentifier.arx.criteria.SampleBasedCriterion: Instantiates a new criterion.
SampleUniqueness - Klasse in org.deidentifier.arx.criteria: This criterion ensures that the sample uniqueness falls below a given threshold.
SampleUniqueness(double) - Konstruktor für Klasse org.deidentifier.arx.criteria.SampleUniqueness: Creates a new instance of this criterion.
save(File) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilder: Saves the specification of this builder to the given file.
save(File) - Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Writes the hierarchy to a CSV file.
save(File) - Methode in Klasse org.deidentifier.arx.certificate.ARXCertificate: Renders the document into the given output stream
save(File) - Methode in Klasse org.deidentifier.arx.DataHandle: Writes the data to a CSV file.
save(File, char) - Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Writes the hierarchy to a CSV file.
save(File, char) - Methode in Klasse org.deidentifier.arx.DataHandle: Writes the data to a CSV file.
save(File, CSVSyntax) - Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Writes the hierarchy to a CSV file.
save(File, CSVSyntax) - Methode in Klasse org.deidentifier.arx.DataHandle: Writes the data to a CSV file.
save(OutputStream) - Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Writes the hierarchy to a CSV file.
save(OutputStream) - Methode in Klasse org.deidentifier.arx.certificate.ARXCertificate: Renders the document into the given output stream
save(OutputStream) - Methode in Klasse org.deidentifier.arx.DataHandle: Writes the data to a CSV file.
save(OutputStream, char) - Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Writes the hierarchy to a CSV file.
save(OutputStream, char) - Methode in Klasse org.deidentifier.arx.DataHandle: Writes the data to a CSV file.
save(OutputStream, CSVSyntax) - Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Writes the hierarchy to a CSV file.
save(OutputStream, CSVSyntax) - Methode in Klasse org.deidentifier.arx.DataHandle: Writes the data to a CSV file.
save(String) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilder: Saves the specification of this builder to the given file.
save(String) - Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Writes the hierarchy to a CSV file.
save(String) - Methode in Klasse org.deidentifier.arx.DataHandle: Writes the data to a CSV file.
save(String, char) - Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Writes the hierarchy to a CSV file.
save(String, char) - Methode in Klasse org.deidentifier.arx.DataHandle: Writes the data to a CSV file.
save(String, CSVSyntax) - Methode in Klasse org.deidentifier.arx.AttributeType.Hierarchy: Writes the hierarchy to a CSV file.
save(String, CSVSyntax) - Methode in Klasse org.deidentifier.arx.DataHandle: Writes the data to a CSV file.
SECOND_MINUTE_HOUR_DAY_MONTH_YEAR - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity: Granularity
SENSITIVE_ATTRIBUTE - Statische Variable in Klasse org.deidentifier.arx.AttributeType: Represents a sensitive attribute.
SerializableComparator() - Konstruktor für Klasse org.deidentifier.arx.aggregates.HierarchyBuilderOrderBased.SerializableComparator
set - Variable in Klasse org.deidentifier.arx.DataSubset: The subset as a bitset.
set(int, int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix: Sets a value
set(int, int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset
set(HierarchyBuilderDate.Granularity, String) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate.Format: Sets a form
setAdversaryCost(double) - Methode in Klasse org.deidentifier.arx.ARXCostBenefitConfiguration: Sets the amount of money needed by an attacker for trying to re-identify a single record
setAdversaryGain(double) - Methode in Klasse org.deidentifier.arx.ARXCostBenefitConfiguration: Sets the amount of money earned by an attacker for successfully re-identifying a single record
setAggregateFunction(AggregateFunction<T>) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased: Sets the default aggregate function to be used by all fanouts.
setAggregateFunction(Metric.AggregateFunction) - Methode in Klasse org.deidentifier.arx.metric.MetricConfiguration
setAlgorithm(ARXConfiguration.AnonymizationAlgorithm) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Sets the algorithm to use
setAliasName(String) - Methode in Klasse org.deidentifier.arx.io.ImportColumn: Sets the alias name.
setAlpha(double) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression
setAlphabetSize(int, int) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased: Sets properties about the attribute's domain.
setAnonymity(ARXLattice.Anonymity) - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode.Access: Sets the anonymity.
setAnonymityPropertyPredictable(boolean) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Makes the anonymity property predictable
setAnonymous() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode.Access: Set anonymous.
setAttributes(Map<Integer, Object>) - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode.Access: Sets the attributes.
setAttributeType(String, HierarchyBuilder<?>) - Methode in Klasse org.deidentifier.arx.DataDefinition: Defines the given attribute as a quasi-identifier and stores the functional representation of the generalization hierarchy.
setAttributeType(String, AttributeType) - Methode in Klasse org.deidentifier.arx.DataDefinition: Define the type of a given attribute.
setAttributeTypeSuppressed(AttributeType, boolean) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Defines values of which attribute type are to be replaced by the suppression string in suppressed tuples.
setAttributeWeight(String, double) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Sets the weight for the given attribute.
setAttributeWeight(String, Double) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Sets the weight for the given attribute.
setBottom(ARXLattice.ARXNode) - Methode in Klasse org.deidentifier.arx.ARXLattice.Access: Accessor method
setBottomCodingBound(Date) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate
setChecked(boolean) - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode.Access: Set checked.
setChecked(TransformationResult) - Methode in Klasse org.deidentifier.arx.framework.lattice.Transformation: Sets the properties to the given node.
setCleansing(boolean) - Methode in Klasse org.deidentifier.arx.io.ImportColumn: Should we perform cleansing
setContainsHeader(boolean) - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationCSV: Sets the contains header.
setContainsHeader(boolean) - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationExcel
setCostBenefitConfiguration(ARXCostBenefitConfiguration) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Sets the cost/benefit configuration
setData(Long, Object) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong: Sets data
setData(Object) - Methode in Klasse org.deidentifier.arx.framework.lattice.Transformation: Sets a data
setData(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased: Sets the data array.
setData(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased: Sets the data array.
setData(SolutionSpaceIntArray.IntArrayWrapper, Object) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray: Sets data
setData(T, Object) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Sets data
setDataType(String, DataType<?>) - Methode in Klasse org.deidentifier.arx.DataDefinition: Define the datatype of a given attribute.
setDataType(DataType<?>) - Methode in Klasse org.deidentifier.arx.io.ImportColumn: Sets the data type.
setDecayExponent(double) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression
setDefinition(DataDefinition) - Methode in Klasse org.deidentifier.arx.DataHandleInput: Overrides the handles data definition.
setDelimiter(char) - Methode in Klasse org.deidentifier.arx.io.CSVSyntax: Sets the delimiter.
setDeterministic(boolean) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression: Sets whether the process should be deterministic
setDeterministic(boolean) - Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration: Sets whether the process should be deterministic
setDeterministic(boolean) - Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration: Sets the solving process to be deterministic
setDistribution(T[], double[]) - Methode in Klasse org.deidentifier.arx.dp.ExponentialMechanism: Sets the distribution to sample from.
setDomainAndAlphabetSize(int, int, int) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased: Sets properties about the attribute's domain.
setDomainMetadata(String[]) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased: Sets properties about the attribute's domain.
setDomainSize(int, int) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased: Sets properties about the attribute's domain.
setDPSearchBudget(double) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Sets the privacy budget to use for the data-dependent differential privacy search algorithm.
setEscape(char) - Methode in Klasse org.deidentifier.arx.io.CSVSyntax: Sets the escape.
setExcelFileType(ImportConfigurationExcel.ExcelFileTypes) - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationExcel
setFileLocation(String) - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationFile
setFormat(HierarchyBuilderDate.Format) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate
setGeneticAlgorithmCrossoverFraction(double) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Sets the fraction of individuals crossed over
setGeneticAlgorithmDeterministic(boolean) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Deterministic execution
setGeneticAlgorithmEliteFraction(double) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Sets the size of the elite group
setGeneticAlgorithmImmigrationFraction(double) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Sets the fraction to immigrate
setGeneticAlgorithmImmigrationInterval(int) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Sets the immigration interval
setGeneticAlgorithmIterations(int) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Sets the genetic algorithm iterations
setGeneticAlgorithmMutationProbability(double) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Sets the mutation probability
setGeneticAlgorithmProductionFraction(double) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Sets the production fraction
setGeneticAlgorithmSubpopulationSize(int) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Setter
setGranularities(HierarchyBuilderDate.Granularity[]) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate: Sets the granularities
setGsFactor(double) - Methode in Klasse org.deidentifier.arx.metric.MetricConfiguration
setHeader(String[]) - Methode in Klasse org.deidentifier.arx.DataHandle: Sets the current header
setHeadermap(Map<String, Integer>) - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode.Access: Sets the headermap.
setHeuristicSearchStepLimit(int) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: The heuristic search algorithm will terminate after the given number of transformations have been checked.
setHeuristicSearchStepLimit(int, ARXConfiguration.SearchStepSemantics) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Sets the semantics of heuristic search steps.
setHeuristicSearchThreshold(int) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: When the size of the solution space exceeds the given number of transformations, ARX will use a heuristic search strategy.
setHeuristicSearchTimeLimit(int) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: The heuristic search algorithm will terminate after the given number of milliseconds.
setHierarchy(String, HierarchyBuilder<?>) - Methode in Klasse org.deidentifier.arx.DataDefinition: Associates the given hierarchy builder
setHierarchy(String, AttributeType.Hierarchy) - Methode in Klasse org.deidentifier.arx.DataDefinition: Associates the given hierarchy
setHighestScore(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode.Access: Sets the maximal information loss.
setHistorySize(int) - Methode in Klasse org.deidentifier.arx.ARXAnonymizer: Sets the maximum number of snapshots allowed to store in the history.
sethMargin(float) - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle
setId(int) - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode: Internal method that sets the id.
setIndex(int) - Methode in Schnittstelle org.deidentifier.arx.io.IImportColumnIndexed: Sets the index this columns refers to.
setIndex(int) - Methode in Klasse org.deidentifier.arx.io.ImportColumnIndexed
setIndex(int) - Methode in Klasse org.deidentifier.arx.io.ImportColumnJDBC
setIndividual(int, Transformation<?>) - Methode in Klasse org.deidentifier.arx.algorithm.GeneticAlgorithmSubpopulation: Replaces the individual at a certain index
setInformationLoss(int[], InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Sets the information loss
setInformationLoss(int[], InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray: Sets the information loss
setInformationLoss(int[], InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong: Sets the information loss
setInformationLoss(Long, InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong: Sets the information loss
setInformationLoss(SolutionSpaceIntArray.IntArrayWrapper, InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray: Sets the information loss
setInformationLoss(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.framework.lattice.Transformation: Sets the information loss
setInformationLoss(T, InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Sets the information loss
setLambda(double) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression
setLearningRate(double) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression
setLevels(List<HierarchyBuilderGroupingBased.Level<T>>) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased: Sets the groups on higher levels of the hierarchy.
setLevels(List<HierarchyBuilderGroupingBased.Level<T>>) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased: Sets the groups on higher levels of the hierarchy.
setLevels(ARXLattice.ARXNode[][]) - Methode in Klasse org.deidentifier.arx.ARXLattice.Access: Accessor method
setLinebreak(char[]) - Methode in Klasse org.deidentifier.arx.io.CSVSyntax: Sets the line break.
setLinebreak(String) - Methode in Klasse org.deidentifier.arx.io.CSVSyntax: Sets the line break.
setListener(ARXListener) - Methode in Klasse org.deidentifier.arx.algorithm.AbstractAlgorithm: Sets a listener
setListener(ARXListener) - Methode in Klasse org.deidentifier.arx.ARXAnonymizer: Sets a listener.
setListIndent(int) - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle
setLocked(boolean) - Methode in Klasse org.deidentifier.arx.DataDefinition: Lock/unlock the definition.
setLocked(boolean) - Methode in Klasse org.deidentifier.arx.DataHandleInput: Lock/unlock this handle.
setLowerBound(Long, InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong: Sets the lower bound
setLowerBound(SolutionSpaceIntArray.IntArrayWrapper, InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray: Sets the lower bound
setLowerBound(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode.Access: Sets the lower bound.
setLowerBound(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.framework.lattice.Transformation: Sets the lower bound
setLowerBound(T, InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Sets the lower bound
setLowestScore(InformationLoss<?>) - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode.Access: Sets the minimal information loss.
setMax(double[]) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional: Sets the maximal information loss.
setMaxColumns(int) - Methode in Klasse org.deidentifier.arx.io.CSVOptions
setMaxColumns(int) - Methode in Klasse org.deidentifier.arx.io.CSVSyntax: Sets max columns
setMaximumGeneralization(String, int) - Methode in Klasse org.deidentifier.arx.DataDefinition: Define the maximal generalization of a given attribute.
setMaximumNumberOfLeafNodes(int) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest
setMaximumSnapshotSizeDataset(double) - Methode in Klasse org.deidentifier.arx.ARXAnonymizer: Sets the maximum size of a snapshot relative to the dataset size.
setMaximumSnapshotSizeSnapshot(double) - Methode in Klasse org.deidentifier.arx.ARXAnonymizer: Sets the maximum size of a snapshot relative to the previous snapshot.
setMaxLevels(int) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased: Sets the maximal number of levels
setMaxOutliers(double) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Veraltet.
setMaxQuasiIdentifiers(int) - Methode in Klasse org.deidentifier.arx.ARXAnonymizer: Sets the maximal number of quasi-identifiers.
setMaxRecords(int) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression
setMaxRecords(int) - Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration
setMicroAggregationFunction(String, AttributeType.MicroAggregationFunction) - Methode in Klasse org.deidentifier.arx.DataDefinition: Associates the given microaggregation function.
setMicroAggregationFunction(String, AttributeType.MicroAggregationFunction, boolean) - Methode in Klasse org.deidentifier.arx.DataDefinition: Associates the given microaggregation function
setMin(double[]) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional: Sets the minimal information loss.
setMinimumGeneralization(String, int) - Methode in Klasse org.deidentifier.arx.DataDefinition: Define the minimal generalization of a given attribute.
setMinimumSizeOfLeafNodes(int) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest
setModified() - Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration: Sets modified
setMonotonic(boolean) - Methode in Klasse org.deidentifier.arx.metric.MetricConfiguration
setMonotonicity(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.ARXLattice.Access: Accessor method
setMonotonicity(ARXConfiguration) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Sets the monotonicity of the anonymity property
setName(String) - Methode in Klasse org.deidentifier.arx.io.ImportColumnIndexed: Sets the name.
setName(String) - Methode in Klasse org.deidentifier.arx.io.ImportColumnJDBC
setNext(IntArrayDictionaryEntry) - Methode in Klasse org.deidentifier.arx.framework.check.distribution.IntArrayDictionaryEntry: Sets next
setNotAnonymous() - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode.Access: Set not anonymous.
setNumberOfTrees(int) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest
setNumberOfVariablesToSplit(int) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest
setNumFolds(int) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression
setNumFolds(int) - Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration
setNumTuples(Double) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractMetricSingleDimensional: Returns the number of rows in the dataset or subset.
setOptimized(boolean) - Methode in Klasse org.deidentifier.arx.DataHandleOutput: Marks this handle as optimized
setOptimizedLoading(boolean) - Methode in Klasse org.deidentifier.arx.io.ImportConfiguration: Tries to enable more efficient loading, if supported
setOptimum(ARXLattice.ARXNode) - Methode in Klasse org.deidentifier.arx.ARXLattice.Access: Accessor method
setPracticalMonotonicity(boolean) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Set, if practical monotonicity assumed.
setPrecomputationThreshold(double) - Methode in Klasse org.deidentifier.arx.metric.MetricConfiguration
setPrecomputed(boolean) - Methode in Klasse org.deidentifier.arx.metric.MetricConfiguration
setPredecessors(ARXLattice.ARXNode[]) - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode.Access: Sets the predecessors.
setPrepared(boolean) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased: Is this builder prepared allready.
setPriorFunction(ClassificationConfigurationLogisticRegression.PriorFunction) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression
setProgress(int) - Methode in Klasse org.deidentifier.arx.risk.RiskModelPopulationUniqueness: Sets the progress
setProperty(PredictiveProperty) - Methode in Klasse org.deidentifier.arx.framework.lattice.Transformation: Sets a property
setPropertyToNeighbours(PredictiveProperty) - Methode in Klasse org.deidentifier.arx.framework.lattice.Transformation: Sets the property to all neighbors
setPropertyToNeighbours(PredictiveProperty) - Methode in Klasse org.deidentifier.arx.framework.lattice.TransformationIntArray: Sets the property to all neighbors
setPropertyToNeighbours(PredictiveProperty) - Methode in Klasse org.deidentifier.arx.framework.lattice.TransformationLong: Sets the property to all neighbors
setPublisherBenefit(double) - Methode in Klasse org.deidentifier.arx.ARXCostBenefitConfiguration: Sets the amount of money earned by the data publisher for publishing a single record
setPublisherLoss(double) - Methode in Klasse org.deidentifier.arx.ARXCostBenefitConfiguration: Sets the amount of money lost by the data publisher, e.g. due to a fine, if a single record is attacked successfully
setQualityModel(Metric<?>) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Sets the quality model to be used for optimizing output data.
setQualityModel(Metric<?>) - Methode in Klasse org.deidentifier.arx.ARXLattice.Access: Accessor method
setQuote(char) - Methode in Klasse org.deidentifier.arx.io.CSVSyntax: Sets the quote.
setRegistry(DataRegistry) - Methode in Klasse org.deidentifier.arx.DataHandle: Updates the registry.
setResponseVariable(String, boolean) - Methode in Klasse org.deidentifier.arx.DataDefinition: Sets whether the given attribute is a response variable
setRow(int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix: Sets the row index for data access
setRow(int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset
setRow(int, int[]) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix: Sets the data for one row
setRow(int, int[]) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset
setScalingFunction(String, String) - Methode in Klasse org.deidentifier.arx.ARXFeatureScaling: Sets a scaling function
setScalingFunctionIdentity(String) - Methode in Klasse org.deidentifier.arx.ARXFeatureScaling: Sets a scaling function
setScalingFunctionInverse(String) - Methode in Klasse org.deidentifier.arx.ARXFeatureScaling: Sets a scaling function
setScalingFunctionLog(String) - Methode in Klasse org.deidentifier.arx.ARXFeatureScaling: Sets a scaling function
setScalingFunctionSQRT(String) - Methode in Klasse org.deidentifier.arx.ARXFeatureScaling: Sets a scaling function
setScalingFunctionSquare(String) - Methode in Klasse org.deidentifier.arx.ARXFeatureScaling: Sets a scaling function
setSeed(int) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression: Seed for randomization.
setSeed(int) - Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration: Seed for randomization.
setSheetIndex(int) - Methode in Klasse org.deidentifier.arx.io.ImportConfigurationExcel
setSigma(double) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationNaiveBayes: Sets the prior count of add-k smoothing of evidence.
setSize(int) - Methode in Klasse org.deidentifier.arx.ARXLattice.Access: Accessor method
setSize(int) - Methode in Klasse org.deidentifier.arx.framework.check.history.History: Sets the size of this history.
setSolutionSpace(SolutionSpace<?>) - Methode in Klasse org.deidentifier.arx.ARXLattice.Access: Updates the solution space
setSplitRule(ClassificationConfigurationRandomForest.SplitRule) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest
setStepOffset(int) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression
setStepPerformed() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss: One step performed
setStepPerformed() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy: One step performed
setStepPerformed() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision: One step performed
setStepPerformed() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError: One step performed
setStepPerformed() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS: One step performed
setStepPerformed() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity: One step performed
setStepPerformed() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility: One step performed
setStepPerformed() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError: One step performed
setStepPerformed() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST: One step performed
setSteps(int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss: Total number of steps
setSteps(int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy: Total number of steps
setSteps(int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision: Total number of steps
setSteps(int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError: Total number of steps
setSteps(int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS: Total number of steps
setSteps(int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity: Total number of steps
setSteps(int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility: Total number of steps
setSteps(int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError: Total number of steps
setSteps(int) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST: Total number of steps
setStepsDone() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedLoss: All steps performed
setStepsDone() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedNonUniformEntropy: All steps performed
setStepsDone() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedPrecision: All steps performed
setStepsDone() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelColumnOrientedSquaredError: All steps performed
setStepsDone() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAECS: All steps performed
setStepsDone() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedAmbiguity: All steps performed
setStepsDone() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedDiscernibility: All steps performed
setStepsDone() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSquaredError: All steps performed
setStepsDone() - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityModelRowOrientedSSESST: All steps performed
setStorageStrategy(History.StorageStrategy) - Methode in Klasse org.deidentifier.arx.framework.check.history.History: Sets the storage strategy
setSubsample(double) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest
setSubtitleFont(BaseFont) - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle
setSubtitleSize(int) - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle
setSuccessors(ARXLattice.ARXNode[]) - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode.Access: Sets the successors.
setSuppressedValue(String) - Methode in Klasse org.deidentifier.arx.aggregates.quality.QualityConfiguration
setSuppressionAlwaysEnabled(boolean) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Sets whether suppression is applied to the output of anonymous as well as non-anonymous transformations.
setSuppressionLimit(double) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Sets the suppression limit.
setTextFont(BaseFont) - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle
setTextSize(int) - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle
setTimeZone(TimeZone) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate
setTitleAlignment(Alignment) - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle
setTitleFont(BaseFont) - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle
setTitleHint(LayoutHint) - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle
setTitleSize(int) - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle
setTop(ARXLattice.ARXNode) - Methode in Klasse org.deidentifier.arx.ARXLattice.Access: Accessor method
setTopCodingBound(Date) - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderDate
setTransformation(int[]) - Methode in Klasse org.deidentifier.arx.ARXLattice.ARXNode.Access: Sets the transformation.
setType(ClassificationConfigurationNaiveBayes.Type) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationNaiveBayes: Type
setUncertainty(boolean) - Methode in Klasse org.deidentifier.arx.ARXLattice.Access: Accessor method
setUnmodified() - Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration: Set unmodified
setUnmodified() - Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration: Modified
setUseHeuristicSearchForSampleBasedCriteria(boolean) - Methode in Klasse org.deidentifier.arx.ARXConfiguration: Do we guarantee optimality for sample-based criteria?
setValueAtColumn(int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix: Sets the value in the given column for the row which has been set via setRow(row).
setValueAtColumn(int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset
setValues(double[]) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensional
setValues(double[]) - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensionalReduced
setValues(double[]) - Methode in Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalRank
setVectorLength(int) - Methode in Klasse org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression
setVectorLength(int) - Methode in Klasse org.deidentifier.arx.ARXClassificationConfiguration
setView(DataHandle) - Methode in Klasse org.deidentifier.arx.DataHandle: Sets the subset.
setvMargin(float) - Methode in Klasse org.deidentifier.arx.certificate.CertificateStyle
SHANNON - Enum-Konstante in Enumeration org.deidentifier.arx.criteria.EntropyLDiversity.EntropyEstimator: The Shannon estimator
shuffledIterator() - Methode in Klasse org.deidentifier.arx.DataHandle: Returns an iterator over the data in a random order.
shuffledIterator() - Methode in Klasse org.deidentifier.arx.DataHandleInput
shuffledIterator() - Methode in Klasse org.deidentifier.arx.DataHandleOutput
shuffledIterator() - Methode in Klasse org.deidentifier.arx.DataHandleSubset
size() - Methode in Klasse org.deidentifier.arx.common.Groupify: Returns the current number of entries
size() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.Distribution: Gets the current size.
size() - Methode in Klasse org.deidentifier.arx.framework.check.history.MRUCache: Size.
size() - Methode in Klasse org.deidentifier.arx.framework.lattice.TransformationList: Returns the size
size() - Methode in Klasse org.deidentifier.arx.RowSet: Returns the number of bits set
snapshot - Variable in Klasse org.deidentifier.arx.framework.check.TransformationCheckerStateMachine.Transition: Snapshot, if available.
snapshot - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The snapshot.
SNAPSHOT - Enum-Konstante in Enumeration org.deidentifier.arx.framework.check.TransformationCheckerStateMachine.TransitionType: Apply the snapshot optimization.
SNB - Enum-Konstante in Enumeration org.deidentifier.arx.risk.RiskModelPopulationUniqueness.PopulationUniquenessModel
SOCIAL_SECURITY_NUMBER - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier
solutionSpace - Variable in Klasse org.deidentifier.arx.algorithm.AbstractAlgorithm: The lattice.
solutionSpace - Variable in Klasse org.deidentifier.arx.framework.lattice.Transformation: The solution space
SolutionSpace<T> - Klasse in org.deidentifier.arx.framework.lattice: A class representing the solution space
SolutionSpace(int[], int[]) - Konstruktor für Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Creates a new instance
SolutionSpace(ARXLattice, ARXConfiguration) - Konstruktor für Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: For de-serialization
SolutionSpaceIntArray - Klasse in org.deidentifier.arx.framework.lattice: A class representing the solution space
SolutionSpaceIntArray(int[], int[]) - Konstruktor für Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray: Delegate constructor
SolutionSpaceIntArray(ARXLattice, ARXConfiguration) - Konstruktor für Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray: Delegate constructor
SolutionSpaceLong - Klasse in org.deidentifier.arx.framework.lattice: A class representing the solution space
SolutionSpaceLong(int[], int[]) - Konstruktor für Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong: Delegate constructor
SolutionSpaceLong(ARXLattice, ARXConfiguration) - Konstruktor für Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong: Delegate constructor
sort() - Methode in Klasse org.deidentifier.arx.algorithm.GeneticAlgorithmSubpopulation: Sorts the individuals descending by fitness, which means ascending in terms of information loss.
sort(boolean, int...) - Methode in Klasse org.deidentifier.arx.DataHandle: Sorts the dataset according to the given columns.
sort(int, int, boolean, int...) - Methode in Klasse org.deidentifier.arx.DataHandle: Sorts the dataset according to the given columns and the given range.
sort(Swapper, boolean, int...) - Methode in Klasse org.deidentifier.arx.DataHandle: Sorts the dataset according to the given columns.
sort(Swapper, int, int, boolean, int...) - Methode in Klasse org.deidentifier.arx.DataHandle: Sorts the dataset according to the given columns and the given range.
SOUTH_AMERICA - Enum-Konstante in Enumeration org.deidentifier.arx.ARXPopulationModel.Region
sqrt(IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Square root
ssStepWidth - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The size of one snapshopt entry *.
startIndex - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The start index.
startTraverse() - Methode in Klasse org.deidentifier.arx.algorithm.AbstractAlgorithm: Call before traversal
stateAnalyze(Transformation<?>, boolean) - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupify: Analyzes the current state
stateClear() - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupify: Clears all entries
stateResetSuppression() - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupify: This method will reset all flags that indicate that equivalence classes are suppressed.
StatisticsBuilder - Klasse in org.deidentifier.arx.aggregates: A class offering basic descriptive statistics about data handles.
StatisticsBuilder(DataHandleInternal) - Konstruktor für Klasse org.deidentifier.arx.aggregates.StatisticsBuilder: Creates a new instance.
StatisticsBuilderInterruptible - Klasse in org.deidentifier.arx.aggregates: A class offering basic descriptive statistics about data handles.
StatisticsClassification - Klasse in org.deidentifier.arx.aggregates: Statistics representing the performance of various classifiers
StatisticsClassification.ROCCurve - Klasse in org.deidentifier.arx.aggregates: A ROC curve
StatisticsContingencyTable - Klasse in org.deidentifier.arx.aggregates: A contingency table.
StatisticsContingencyTable.Entry - Klasse in org.deidentifier.arx.aggregates: An entry in the contingency table.
StatisticsEquivalenceClasses - Klasse in org.deidentifier.arx.aggregates: Statistics about the equivalence classes.
StatisticsFrequencyDistribution - Klasse in org.deidentifier.arx.aggregates: A frequency distribution.
StatisticsQuality - Klasse in org.deidentifier.arx.aggregates: Encapsulates statistics obtained using various quality models
StatisticsSummary<T> - Klasse in org.deidentifier.arx.aggregates: A base class for summary statistics
Step(int[], int[], Map<String, Integer>, InformationLoss<?>, int, boolean) - Konstruktor für Klasse org.deidentifier.arx.ARXProcessStatistics.Step: Creates a new instance
Step(ARXLattice.ARXNode, ARXLattice.ARXNode, boolean) - Konstruktor für Klasse org.deidentifier.arx.ARXProcessStatistics.Step: Creates a new instance
Step(Transformation<?>, Transformation<?>, boolean, int) - Konstruktor für Klasse org.deidentifier.arx.ARXProcessStatistics.Step: Creates a new instance
stopIndex - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The stop index.
store(Transformation<?>, HashGroupify, int[]) - Methode in Klasse org.deidentifier.arx.framework.check.history.History: Stores a snapshot in the buffer.
STRING - Statische Variable in Klasse org.deidentifier.arx.DataType: A string data type.
style(BaseFont, ElementText.TextStyle) - Methode in Klasse org.deidentifier.arx.certificate.elements.ElementText: Returns a styled instance
sub(IntervalDouble, IntervalDouble) - Methode in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Subtraction
subset - Variable in Klasse org.deidentifier.arx.DataHandle: The current research subset.
subtract(Double, Double) - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
subtract(Long, Long) - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
subtract(Date, Date) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
subtract(T, T) - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale: Subtract
SUM - Enum-Konstante in Enumeration org.deidentifier.arx.metric.Metric.AggregateFunction: Sum
suppressWhileNotFulfilledBinary(HashGroupifyDistribution.PrivacyCondition) - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution: Suppresses entries until the condition is fulfilled
suppressWhileNotFulfilledLinear(HashGroupifyDistribution.PrivacyCondition) - Methode in Klasse org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution: Suppresses entries until the condition is fulfilled
swap(int, int) - Methode in Klasse org.deidentifier.arx.DataHandle: Swaps both rows.
swap(int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrix: Swaps the data in both rows
swap(int, int) - Methode in Klasse org.deidentifier.arx.framework.data.DataMatrixSubset
swap(int, int) - Methode in Klasse org.deidentifier.arx.RowSet: Swaps two bits

T

t - Variable in Klasse org.deidentifier.arx.criteria.TCloseness: The param t.
TCloseness - Klasse in org.deidentifier.arx.criteria: An abstract base class for t-closeness criteria as proposed in: Li N, Li T, Venkatasubramanian S.
TCloseness(String, double) - Konstruktor für Klasse org.deidentifier.arx.criteria.TCloseness: Creates a new instance.
TELEPHONE_NUMBER - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier
timePerTry(int) - Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration
timeTotal(int) - Methode in Klasse org.deidentifier.arx.ARXSolverConfiguration
toDouble(Double) - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
toDouble(Long) - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
toDouble(Date) - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
toDouble(T) - Methode in Schnittstelle org.deidentifier.arx.DataType.DataTypeWithRatioScale: Converts a double into a value.
toJHPL(int) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Internal method that subtracts the offset
toJHPL(int[]) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Internal method that subtracts the offsets
toLabel() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericArithmeticMean
toLabel() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericArithmeticMeanOfBounds
toLabel() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericBounds
toLabel() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericCommonPrefix
toLabel() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericConstant
toLabel() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericGeometricMean
toLabel() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericGeometricMeanOfBounds
toLabel() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericInterval
toLabel() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericSet
toLabel() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericSetOfPrefixes
toLabel() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction: Returns a label.
toString() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericArithmeticMean
toString() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericArithmeticMeanOfBounds
toString() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericBounds
toString() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericCommonPrefix
toString() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericConstant
toString() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericGeometricMean
toString() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericGeometricMeanOfBounds
toString() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericInterval
toString() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericSet
toString() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction.GenericSetOfPrefixes
toString() - Methode in Klasse org.deidentifier.arx.aggregates.AggregateFunction
toString() - Methode in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilder.Type
toString() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased.Group
toString() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderGroupingBased.Level
toString() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.IndexNode
toString() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.Interval
toString() - Methode in Klasse org.deidentifier.arx.aggregates.HierarchyBuilderIntervalBased.Range
toString() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsClassification
toString() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsEquivalenceClasses
toString() - Methode in Klasse org.deidentifier.arx.aggregates.StatisticsSummary
toString() - Methode in Klasse org.deidentifier.arx.ARXCostBenefitConfiguration
toString() - Methode in Klasse org.deidentifier.arx.AttributeType: Returns a string representation.
toString() - Methode in Klasse org.deidentifier.arx.criteria.AverageReidentificationRisk
toString() - Methode in Klasse org.deidentifier.arx.criteria.BasicBLikeness
toString() - Methode in Klasse org.deidentifier.arx.criteria.DDisclosurePrivacy
toString() - Methode in Klasse org.deidentifier.arx.criteria.DistinctLDiversity
toString() - Methode in Klasse org.deidentifier.arx.criteria.DPresence
toString() - Methode in Klasse org.deidentifier.arx.criteria.EDDifferentialPrivacy
toString() - Methode in Klasse org.deidentifier.arx.criteria.EnhancedBLikeness
toString() - Methode in Enumeration org.deidentifier.arx.criteria.EntropyLDiversity.EntropyEstimator
toString() - Methode in Klasse org.deidentifier.arx.criteria.EntropyLDiversity
toString() - Methode in Klasse org.deidentifier.arx.criteria.EqualDistanceTCloseness
toString() - Methode in Klasse org.deidentifier.arx.criteria.HierarchicalDistanceTCloseness
toString() - Methode in Klasse org.deidentifier.arx.criteria.Inclusion
toString() - Methode in Klasse org.deidentifier.arx.criteria.KAnonymity
toString() - Methode in Enumeration org.deidentifier.arx.criteria.KMap.CellSizeEstimator
toString() - Methode in Klasse org.deidentifier.arx.criteria.KMap
toString() - Methode in Klasse org.deidentifier.arx.criteria.OrderedDistanceTCloseness
toString() - Methode in Klasse org.deidentifier.arx.criteria.PopulationUniqueness
toString() - Methode in Klasse org.deidentifier.arx.criteria.PrivacyCriterion: Returns a string representation.
toString() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalist
toString() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityJournalistNoAttack
toString() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutor
toString() - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack
toString() - Methode in Klasse org.deidentifier.arx.criteria.RecursiveCLDiversity
toString() - Methode in Klasse org.deidentifier.arx.criteria.SampleUniqueness
toString() - Methode in Enumeration org.deidentifier.arx.DataScale
toString() - Methode in Klasse org.deidentifier.arx.DataType.ARXDate
toString() - Methode in Klasse org.deidentifier.arx.DataType.ARXDecimal
toString() - Methode in Klasse org.deidentifier.arx.DataType.ARXInteger
toString() - Methode in Klasse org.deidentifier.arx.DataType.ARXOrderedString
toString() - Methode in Klasse org.deidentifier.arx.DataType.ARXString
toString() - Methode in Klasse org.deidentifier.arx.framework.check.distribution.Distribution
toString() - Methode in Klasse org.deidentifier.arx.framework.data.DataAggregationInformation
toString() - Methode in Klasse org.deidentifier.arx.framework.lattice.Transformation: Returns a string representation
toString() - Methode in Klasse org.deidentifier.arx.metric.InformationLoss: Returns a string representation.
toString() - Methode in Enumeration org.deidentifier.arx.metric.Metric.AggregateFunction
toString() - Methode in Klasse org.deidentifier.arx.metric.Metric: Returns the name of metric.
toString() - Methode in Klasse org.deidentifier.arx.metric.MetricAECS
toString() - Methode in Klasse org.deidentifier.arx.metric.MetricDM
toString() - Methode in Klasse org.deidentifier.arx.metric.MetricDMStar
toString() - Methode in Klasse org.deidentifier.arx.metric.MetricEntropy
toString() - Methode in Klasse org.deidentifier.arx.metric.MetricHeight
toString() - Methode in Klasse org.deidentifier.arx.metric.MetricNMEntropy
toString() - Methode in Klasse org.deidentifier.arx.metric.MetricNMPrecision
toString() - Methode in Klasse org.deidentifier.arx.metric.MetricPrecision
toString() - Methode in Klasse org.deidentifier.arx.metric.MetricStatic
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensional
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.AbstractILMultiDimensionalReduced
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.ILMultiDimensionalRank
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.ILScore
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.ILSingleDimensional
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDHeight
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLoss
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMLossPotentiallyPrecomputed
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNMPrecision
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropy
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPotentiallyPrecomputed
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropy
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropyPotentiallyPrecomputed
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMEntropyPrecomputed
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropy
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPotentiallyPrecomputed
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPrecomputed
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDPrecision
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricMDStatic
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDAECS
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDClassification
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDDiscernability
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMAmbiguity
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMDiscernability
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMEntropyBasedInformationLoss
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMKLDivergence
toString() - Methode in Klasse org.deidentifier.arx.metric.v2.MetricSDNMPublisherPayout
toString() - Methode in Klasse org.deidentifier.arx.reliability.IntervalDouble
toString() - Methode in Klasse org.deidentifier.arx.risk.HIPAAIdentifierMatch
toString(String) - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutor: Returns a string representation
toString(String) - Methode in Klasse org.deidentifier.arx.criteria.ProfitabilityProsecutorNoAttack: Returns a string representation
touch(T) - Methode in Klasse org.deidentifier.arx.framework.check.history.MRUCache: Touch.
trackOptimum(Transformation<?>) - Methode in Klasse org.deidentifier.arx.algorithm.AbstractAlgorithm: Keeps track of the global optimum.
trackProgressFromLimits() - Methode in Klasse org.deidentifier.arx.algorithm.AbstractAlgorithm: Track progress from limits
trackProgressFromLimits(double) - Methode in Klasse org.deidentifier.arx.algorithm.AbstractAlgorithm: Track progress from limits
train(DataHandleInternal, DataHandleInternal, int) - Methode in Klasse org.deidentifier.arx.aggregates.classification.ClassificationMethod: Train
train(DataHandleInternal, DataHandleInternal, int) - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassLogisticRegression
train(DataHandleInternal, DataHandleInternal, int) - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassNaiveBayes
train(DataHandleInternal, DataHandleInternal, int) - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassRandomForest
train(DataHandleInternal, DataHandleInternal, int) - Methode in Klasse org.deidentifier.arx.aggregates.classification.MultiClassZeroR
transformation - Variable in Klasse org.deidentifier.arx.framework.check.history.MRUCacheEntryMetadata: TransformationUngültige Eingabe: "<"?
Transformation<T> - Klasse in org.deidentifier.arx.framework.lattice: The interface Transformation.
Transformation(int[], Lattice<Integer, Integer>, SolutionSpace<T>) - Konstruktor für Klasse org.deidentifier.arx.framework.lattice.Transformation: Instantiates a new transformation.
TransformationApplicator - Klasse in org.deidentifier.arx.framework.check: This class applies a transformation to the dataset.
TransformationApplicator(DataManager, DataMatrix, Metric<?>, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.TransformationApplicator: Creates a new transformation applicator instance.
transformationARX - Variable in Klasse org.deidentifier.arx.framework.lattice.Transformation: Transformation in ARX's space
TransformationChecker - Klasse in org.deidentifier.arx.framework.check: This class orchestrates the process of transforming and analyzing a dataset.
TransformationChecker(DataManager, Metric<?>, ARXConfiguration.ARXConfigurationInternal, int, double, double, SolutionSpace<?>) - Konstruktor für Klasse org.deidentifier.arx.framework.check.TransformationChecker: Creates a new transformation checker.
TransformationChecker.ScoreType - Enum in org.deidentifier.arx.framework.check: The type of scores.
TransformationCheckerStateMachine - Klasse in org.deidentifier.arx.framework.check: This class implements a state machine, which determines which optimizations can be applied to the current transition depending on the previous transition.
TransformationCheckerStateMachine(History) - Konstruktor für Klasse org.deidentifier.arx.framework.check.TransformationCheckerStateMachine: Instantiates a new state machine.
TransformationCheckerStateMachine.Transition - Klasse in org.deidentifier.arx.framework.check: The resulting transition.
TransformationCheckerStateMachine.TransitionType - Enum in org.deidentifier.arx.framework.check: The possible transition type.
TransformationIntArray - Klasse in org.deidentifier.arx.framework.lattice: The class Transformation.
TransformationIntArray(SolutionSpaceIntArray.IntArrayWrapper, Lattice<Integer, Integer>, SolutionSpace<SolutionSpaceIntArray.IntArrayWrapper>) - Konstruktor für Klasse org.deidentifier.arx.framework.lattice.TransformationIntArray: Delegate constructor
transformationJHPL - Variable in Klasse org.deidentifier.arx.framework.lattice.Transformation: Transformation in JHPL's space
TransformationList<T> - Klasse in org.deidentifier.arx.framework.lattice: List of transformations
TransformationList() - Konstruktor für Klasse org.deidentifier.arx.framework.lattice.TransformationList
TransformationLong - Klasse in org.deidentifier.arx.framework.lattice: The class Transformation.
TransformationLong(int[], long, Lattice<Integer, Integer>, SolutionSpaceLong) - Konstruktor für Klasse org.deidentifier.arx.framework.lattice.TransformationLong: Instantiates a new transformation.
TransformationLong(int[], Lattice<Integer, Integer>, SolutionSpaceLong) - Konstruktor für Klasse org.deidentifier.arx.framework.lattice.TransformationLong: Instantiates a new transformation.
TransformationResult - Klasse in org.deidentifier.arx.framework.check: The result of a check of a transformation.
TransformedData - Klasse in org.deidentifier.arx.framework.check: Helper class to convey buffers.
TransformedData(Data, Data, TransformationResult) - Konstruktor für Klasse org.deidentifier.arx.framework.check.TransformedData: Instantiate the helper object.
Transformer - Klasse in org.deidentifier.arx.framework.check: The class Transformer.
Transformer(DataMatrix, DataMatrix, int, GeneralizationHierarchy[], ARXConfiguration.ARXConfigurationInternal, IntArrayDictionary, IntArrayDictionary) - Konstruktor für Klasse org.deidentifier.arx.framework.check.Transformer: Instantiates a new transformer.
Transformer(DataMatrix, DataMatrix, DataMatrix, int, GeneralizationHierarchy[], ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.Transformer: Instantiates a new transformer for application purposes
Transformer01 - Klasse in org.deidentifier.arx.framework.check.transformer: The class Transformer01.
Transformer01(DataMatrix, GeneralizationHierarchy[], DataMatrix, int, IntArrayDictionary, IntArrayDictionary, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.Transformer01: Instantiates a new transformer.
Transformer02 - Klasse in org.deidentifier.arx.framework.check.transformer: The class Transformer02.
Transformer02(DataMatrix, GeneralizationHierarchy[], DataMatrix, int, IntArrayDictionary, IntArrayDictionary, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.Transformer02: Instantiates a new transformer.
Transformer03 - Klasse in org.deidentifier.arx.framework.check.transformer: The class Transformer03.
Transformer03(DataMatrix, GeneralizationHierarchy[], DataMatrix, int, IntArrayDictionary, IntArrayDictionary, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.Transformer03: Instantiates a new transformer.
Transformer04 - Klasse in org.deidentifier.arx.framework.check.transformer: The class Transformer04.
Transformer04(DataMatrix, GeneralizationHierarchy[], DataMatrix, int, IntArrayDictionary, IntArrayDictionary, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.Transformer04: Instantiates a new transformer.
Transformer05 - Klasse in org.deidentifier.arx.framework.check.transformer: The class Transformer05.
Transformer05(DataMatrix, GeneralizationHierarchy[], DataMatrix, int, IntArrayDictionary, IntArrayDictionary, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.Transformer05: Instantiates a new transformer.
Transformer06 - Klasse in org.deidentifier.arx.framework.check.transformer: The class Transformer06.
Transformer06(DataMatrix, GeneralizationHierarchy[], DataMatrix, int, IntArrayDictionary, IntArrayDictionary, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.Transformer06: Instantiates a new transformer.
Transformer07 - Klasse in org.deidentifier.arx.framework.check.transformer: The class Transformer07.
Transformer07(DataMatrix, GeneralizationHierarchy[], DataMatrix, int, IntArrayDictionary, IntArrayDictionary, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.Transformer07: Instantiates a new transformer.
Transformer08 - Klasse in org.deidentifier.arx.framework.check.transformer: The class Transformer08.
Transformer08(DataMatrix, GeneralizationHierarchy[], DataMatrix, int, IntArrayDictionary, IntArrayDictionary, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.Transformer08: Instantiates a new transformer.
Transformer09 - Klasse in org.deidentifier.arx.framework.check.transformer: The class Transformer09.
Transformer09(DataMatrix, GeneralizationHierarchy[], DataMatrix, int, IntArrayDictionary, IntArrayDictionary, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.Transformer09: Instantiates a new transformer.
Transformer10 - Klasse in org.deidentifier.arx.framework.check.transformer: The class Transformer10.
Transformer10(DataMatrix, GeneralizationHierarchy[], DataMatrix, int, IntArrayDictionary, IntArrayDictionary, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.Transformer10: Instantiates a new transformer.
Transformer11 - Klasse in org.deidentifier.arx.framework.check.transformer: The class Transformer11.
Transformer11(DataMatrix, GeneralizationHierarchy[], DataMatrix, int, IntArrayDictionary, IntArrayDictionary, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.Transformer11: Instantiates a new transformer.
Transformer12 - Klasse in org.deidentifier.arx.framework.check.transformer: The class Transformer12.
Transformer12(DataMatrix, GeneralizationHierarchy[], DataMatrix, int, IntArrayDictionary, IntArrayDictionary, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.Transformer12: Instantiates a new transformer.
Transformer13 - Klasse in org.deidentifier.arx.framework.check.transformer: The class Transformer13.
Transformer13(DataMatrix, GeneralizationHierarchy[], DataMatrix, int, IntArrayDictionary, IntArrayDictionary, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.Transformer13: Instantiates a new transformer.
Transformer14 - Klasse in org.deidentifier.arx.framework.check.transformer: The class Transformer14.
Transformer14(DataMatrix, GeneralizationHierarchy[], DataMatrix, int, IntArrayDictionary, IntArrayDictionary, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.Transformer14: Instantiates a new transformer.
Transformer15 - Klasse in org.deidentifier.arx.framework.check.transformer: The class Transformer15.
Transformer15(DataMatrix, GeneralizationHierarchy[], DataMatrix, int, IntArrayDictionary, IntArrayDictionary, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.Transformer15: Instantiates a new transformer.
TransformerAll - Klasse in org.deidentifier.arx.framework.check.transformer: The class TransformerAll.
TransformerAll(DataMatrix, GeneralizationHierarchy[], DataMatrix, int, IntArrayDictionary, IntArrayDictionary, ARXConfiguration.ARXConfigurationInternal) - Konstruktor für Klasse org.deidentifier.arx.framework.check.transformer.TransformerAll: Instantiates a new transformer.
transition - Variable in Klasse org.deidentifier.arx.framework.check.transformer.AbstractTransformer: The transition.
transition(int[]) - Methode in Klasse org.deidentifier.arx.framework.check.TransformationCheckerStateMachine: Calculates the best state transition.
Transition() - Konstruktor für Klasse org.deidentifier.arx.framework.check.TransformationCheckerStateMachine.Transition
traverse() - Methode in Klasse org.deidentifier.arx.algorithm.AbstractAlgorithm: Implement this method in order to provide a new algorithm.
traverse() - Methode in Klasse org.deidentifier.arx.algorithm.DataDependentEDDPAlgorithm
traverse() - Methode in Klasse org.deidentifier.arx.algorithm.FLASHAlgorithmImpl
traverse() - Methode in Klasse org.deidentifier.arx.algorithm.GeneticAlgorithm
traverse() - Methode in Klasse org.deidentifier.arx.algorithm.LIGHTNINGAlgorithm
traverse() - Methode in Klasse org.deidentifier.arx.algorithm.LIGHTNINGTopDownAlgorithm
trim(String) - Statische Methode in Klasse org.deidentifier.arx.io.IOUtil: Trims a given string.
TupleMatcher - Klasse in org.deidentifier.arx.metric.v2: A class that supports associating input with output
TupleWrapper - Klasse in org.deidentifier.arx.common: For hash tables
TupleWrapper(DataHandleInternal, int[], int) - Konstruktor für Klasse org.deidentifier.arx.common.TupleWrapper: Creates a new instance
TupleWrapper(DataHandleInternal, int[], int, boolean) - Konstruktor für Klasse org.deidentifier.arx.common.TupleWrapper: Creates a new instance
TupleWrapper(DataHandle, int[], int) - Konstruktor für Klasse org.deidentifier.arx.common.TupleWrapper: Creates a new instance
type - Variable in Klasse org.deidentifier.arx.aggregates.AggregateFunction: The data type.
type - Variable in Klasse org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction: Type
type - Variable in Klasse org.deidentifier.arx.framework.check.TransformationCheckerStateMachine.Transition: The actual type of the transition.

U

UK - Enum-Konstante in Enumeration org.deidentifier.arx.ARXPopulationModel.Region
UnexpectedErrorException - Ausnahmeklasse in org.deidentifier.arx.exceptions: Internal class for unexpected errors.
UnexpectedErrorException() - Konstruktor für Ausnahmeklasse org.deidentifier.arx.exceptions.UnexpectedErrorException: Constructor
UnexpectedErrorException(String) - Konstruktor für Ausnahmeklasse org.deidentifier.arx.exceptions.UnexpectedErrorException: Constructor
UnexpectedErrorException(String, Throwable) - Konstruktor für Ausnahmeklasse org.deidentifier.arx.exceptions.UnexpectedErrorException: Constructor
UnexpectedErrorException(Throwable) - Konstruktor für Ausnahmeklasse org.deidentifier.arx.exceptions.UnexpectedErrorException: Constructor
UNIFORM - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression.PriorFunction
UNKNOWN - Enum-Konstante in Enumeration org.deidentifier.arx.ARXLattice.Anonymity: UNKNOWN
UNOPTIMIZED - Enum-Konstante in Enumeration org.deidentifier.arx.framework.check.TransformationCheckerStateMachine.TransitionType: Unfortunately all rows need to be transformed.
unsafeGetAllTransformations() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Returns all transformations in the solution space
unsafeGetAllTransformations() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray: Returns all transformations in the solution space
unsafeGetAllTransformations() - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong: Returns all transformations in the solution space
unsafeGetLevel(int) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Returns *all* nodes on the given level.
unsafeGetLevel(int) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceIntArray: Returns *all* nodes on the given level.
unsafeGetLevel(int) - Methode in Klasse org.deidentifier.arx.framework.lattice.SolutionSpaceLong: Returns *all* nodes on the given level.
update(Data) - Methode in Klasse org.deidentifier.arx.DataHandleInput: Update the definition.
update(DataMatrix, DataMatrix) - Methode in Klasse org.deidentifier.arx.DataHandleInput: Updates the definition with further data to swap.
updateDataTypes(int[]) - Methode in Klasse org.deidentifier.arx.DataHandleOutput: Used to update data types after local recoding
upper - Variable in Klasse org.deidentifier.arx.reliability.IntervalDouble: Upper
URL - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier
USA - Enum-Konstante in Enumeration org.deidentifier.arx.ARXPopulationModel.Region
utility - Variable in Klasse org.deidentifier.arx.framework.lattice.SolutionSpace: Information loss

V

value - Variable in Klasse org.deidentifier.arx.common.WrappedBoolean: The value
value - Variable in Klasse org.deidentifier.arx.common.WrappedInteger
value1 - Variable in Klasse org.deidentifier.arx.aggregates.StatisticsContingencyTable.Entry: Index of the value from the first column.
value2 - Variable in Klasse org.deidentifier.arx.aggregates.StatisticsContingencyTable.Entry: Index of the value from the second column.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression.PriorFunction: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.aggregates.ClassificationConfigurationNaiveBayes.Type: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest.SplitRule: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilder.Type: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased.Priority: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased.Order: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.algorithm.FLASHPhaseConfiguration.PhaseAnonymityProperty: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.ARXConfiguration.AnonymizationAlgorithm: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.ARXConfiguration.Monotonicity: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.ARXConfiguration.SearchStepSemantics: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.ARXLattice.Anonymity: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.ARXPopulationModel.Region: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.certificate.CertificateStyle.ListStyle: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.certificate.elements.ElementText.TextStyle: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.criteria.EntropyLDiversity.EntropyEstimator: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.criteria.KMap.CellSizeEstimator: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.DataGeneralizationScheme.GeneralizationDegree: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.DataScale: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution.PrivacyCondition.State: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.framework.check.history.History.StorageStrategy: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.framework.check.TransformationChecker.ScoreType: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.framework.check.TransformationCheckerStateMachine.TransitionType: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.io.ImportConfigurationExcel.ExcelFileTypes: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.metric.Metric.AggregateFunction: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.MatchType: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enumeration org.deidentifier.arx.risk.RiskModelPopulationUniqueness.PopulationUniquenessModel: Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
values - Variable in Klasse org.deidentifier.arx.aggregates.StatisticsFrequencyDistribution: The data values, sorted.
values() - Statische Methode in Enumeration org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression.PriorFunction: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.aggregates.ClassificationConfigurationNaiveBayes.Type: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.aggregates.ClassificationConfigurationRandomForest.SplitRule: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilder.Type: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderPriorityBased.Priority: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderRedactionBased.Order: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.algorithm.FLASHPhaseConfiguration.PhaseAnonymityProperty: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.ARXConfiguration.AnonymizationAlgorithm: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.ARXConfiguration.Monotonicity: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.ARXConfiguration.SearchStepSemantics: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.ARXLattice.Anonymity: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.ARXPopulationModel.Region: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.certificate.CertificateStyle.ListStyle: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.certificate.elements.ElementText.TextStyle: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.criteria.EntropyLDiversity.EntropyEstimator: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.criteria.KMap.CellSizeEstimator: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.DataGeneralizationScheme.GeneralizationDegree: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.DataScale: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution.PrivacyCondition.State: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.framework.check.history.History.StorageStrategy: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.framework.check.TransformationChecker.ScoreType: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.framework.check.TransformationCheckerStateMachine.TransitionType: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.io.ImportConfigurationExcel.ExcelFileTypes: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.metric.Metric.AggregateFunction: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.MatchType: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enumeration org.deidentifier.arx.risk.RiskModelPopulationUniqueness.PopulationUniquenessModel: Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.
values1 - Variable in Klasse org.deidentifier.arx.aggregates.StatisticsContingencyTable: The data values from the first column, sorted.
values2 - Variable in Klasse org.deidentifier.arx.aggregates.StatisticsContingencyTable: The data values from the second column, sorted.
VEHICLE_IDENTIFIER - Enum-Konstante in Enumeration org.deidentifier.arx.risk.HIPAAIdentifierMatch.HIPAAIdentifier
VERSION - Statische Variable in Klasse org.deidentifier.arx.ARXAnonymizer: The global version string of this release

W

Watermark - Klasse in org.deidentifier.arx.certificate.resources: Class for accessing the water mark
Watermark(PDDocument) - Konstruktor für Klasse org.deidentifier.arx.certificate.resources.Watermark: Creates a new instance
WEEK - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity: Granularity
WEEK_MONTH_YEAR - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity: Granularity
WEEK_YEAR - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity: Granularity
WEEKDAY - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity: Granularity
weights - Variable in Klasse org.deidentifier.arx.metric.MetricWeighted: The weights.
WrappedBoolean - Klasse in org.deidentifier.arx.common: Helper class
WrappedBoolean() - Konstruktor für Klasse org.deidentifier.arx.common.WrappedBoolean: Creates a new instance with initial value "false"
WrappedBoolean(boolean) - Konstruktor für Klasse org.deidentifier.arx.common.WrappedBoolean: Creates a new instance
WrappedInteger - Klasse in org.deidentifier.arx.common: Helper class
WrappedInteger() - Konstruktor für Klasse org.deidentifier.arx.common.WrappedInteger
write(OutputStream) - Methode in Klasse org.deidentifier.arx.DataHandleOutput: Internal method: writes some data into the output stream
write(String[][]) - Methode in Klasse org.deidentifier.arx.io.CSVDataOutput: Write.
write(Iterator<String[]>) - Methode in Klasse org.deidentifier.arx.io.CSVDataOutput: Write the results.
writeLongBigFractionOpenHashMap(ObjectOutputStream, LongObjectOpenHashMap<BigFraction>) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.IO: Writes a LongObjectOpenHashMap of the type BigFraction to the stream.
writeLongDoubleOpenHashMap(ObjectOutputStream, LongDoubleOpenHashMap) - Statische Methode in Klasse org.deidentifier.arx.metric.v2.IO: Writes a LongDoubleOpenHashMap to the stream.

X

XLS - Enum-Konstante in Enumeration org.deidentifier.arx.io.ImportConfigurationExcel.ExcelFileTypes: TODO
XLSX - Enum-Konstante in Enumeration org.deidentifier.arx.io.ImportConfigurationExcel.ExcelFileTypes: TODO

Y

YEAR - Enum-Konstante in Enumeration org.deidentifier.arx.aggregates.HierarchyBuilderDate.Granularity: Granularity

Z

ZAYATZ - Enum-Konstante in Enumeration org.deidentifier.arx.risk.RiskModelPopulationUniqueness.PopulationUniquenessModel
ZERO - Variable in Klasse org.deidentifier.arx.reliability.IntervalArithmeticDouble: Interval representing zero
ZERO_TRUNCATED_POISSON - Enum-Konstante in Enumeration org.deidentifier.arx.criteria.KMap.CellSizeEstimator: Truncate-at-zero Poisson distribution

_

__MetricV2 - Klasse in org.deidentifier.arx.metric.v2: This internal class provides access to version 2 of all metrics.
__MetricV2() - Konstruktor für Klasse org.deidentifier.arx.metric.v2.__MetricV2
_infoloss - Variable in Klasse org.deidentifier.arx.metric.MetricStatic: The user defined information loss per level, indexed by column name.

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