Index
Alle Klassen und Schnittstellen|Alle Packages|Konstantenfeldwerte|Serialisierte Form
M
- makeBackwardsCompatible(int) - Methode in Klasse org.deidentifier.arx.ARXPopulationModel
-
Veraltet.
- mark(PDDocument) - Methode in Klasse org.deidentifier.arx.certificate.resources.Watermark
-
Marks the document
- 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(ARXProcessStatistics) - Methode in Klasse org.deidentifier.arx.ARXProcessStatistics
-
Returns new process statistics that are a merger of this and the other statistics
- Metric<T> - Klasse in org.deidentifier.arx.metric
-
Abstract base class for metrics.
- 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.
- 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).
- MetricDMStar - Klasse in org.deidentifier.arx.metric
-
This class provides an implementation of the DM* metric (monotonic variant of the Discernability Metric).
- MetricEntropy - Klasse in org.deidentifier.arx.metric
-
This class provides an efficient implementation of the non-uniform entropy metric.
- MetricHeight - Klasse in org.deidentifier.arx.metric
-
This class provides an implementation of the Height metric.
- MetricMDHeight - Klasse in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the Height metric.
- 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.
- MetricMDNMLossPrecomputed - Klasse in org.deidentifier.arx.metric.v2
-
This class implements a variant of the Loss metric.
- MetricMDNMPrecision - Klasse in org.deidentifier.arx.metric.v2
-
This class provides an implementation of a weighted precision metric as proposed in:
Sweeney, L. (2002). - MetricMDNUEntropy - Klasse in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the non-uniform entropy metric.
- MetricMDNUEntropyPotentiallyPrecomputed - Klasse in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the non-uniform entropy metric.
- MetricMDNUEntropyPrecomputed - Klasse in org.deidentifier.arx.metric.v2
-
This class provides an efficient implementation of the non-uniform entropy metric.
- MetricMDNUEntropyPrecomputed(boolean, boolean, boolean, double, Metric.AggregateFunction) - Konstruktor für Klasse org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed
-
Precomputed.
- MetricMDNUNMEntropy - Klasse in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the non-uniform entropy metric.
- MetricMDNUNMEntropyPotentiallyPrecomputed - Klasse in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the non-uniform entropy metric.
- MetricMDNUNMEntropyPrecomputed - Klasse in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the non-uniform entropy metric.
- MetricMDNUNMNormalizedEntropy - Klasse in org.deidentifier.arx.metric.v2
-
This class provides an implementation of normalized non-uniform entropy.
- MetricMDNUNMNormalizedEntropyPotentiallyPrecomputed - Klasse in org.deidentifier.arx.metric.v2
-
This class provides an implementation of normalized non-uniform entropy.
- MetricMDNUNMNormalizedEntropyPrecomputed - Klasse in org.deidentifier.arx.metric.v2
-
This class provides an efficient implementation of normalized non-uniform entropy.
- 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). - 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.
- MetricNMEntropy - Klasse in org.deidentifier.arx.metric
-
This class provides an efficient implementation of a non-monotonic and non-uniform entropy metric.
- MetricNMPrecision - Klasse in org.deidentifier.arx.metric
-
This class provides an implementation of a weighted precision metric as proposed in:
Sweeney, L. (2002). - MetricPrecision - Klasse in org.deidentifier.arx.metric
-
This class provides an implementation of a monotonic weighted precision metric.
- MetricSDAECS - Klasse in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the (normalized) average equivalence class size metric.
- MetricSDClassification - Klasse in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the classification metric.
- MetricSDDiscernability - Klasse in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the monotonic DM* metric.
- 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.
- 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. - 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.
- 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
- minLevel - Variable in Klasse org.deidentifier.arx.ARXLattice.LatticeDeserializationContext
-
Min level
- 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
- 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
Alle Klassen und Schnittstellen|Alle Packages|Konstantenfeldwerte|Serialisierte Form