Package org.deidentifier.arx.metric

Klasse MetricNMEntropy

java.lang.Object

org.deidentifier.arx.metric.Metric<org.deidentifier.arx.metric.InformationLossDefault>

org.deidentifier.arx.metric.MetricDefault

org.deidentifier.arx.metric.MetricEntropy

org.deidentifier.arx.metric.MetricNMEntropy

Alle implementierten Schnittstellen:

Serializable

public class MetricNMEntropy
extends MetricEntropy

This class provides an efficient implementation of a non-monotonic and non-uniform entropy metric. It avoids a cell-by-cell process by utilizing a three-dimensional array that maps identifiers to their frequency for all quasi-identifiers and generalization levels. It further reduces the overhead induced by subsequent calls by caching the results for previous columns and generalization levels. It takes supressed tuples into account by adding the information loss induced by suppressing the transformed representation of the outliers.

Siehe auch:

• Serialisierte Form

Verschachtelte Klassen - Übersicht

Von Klasse geerbte verschachtelte Klassen/Schnittstellen org.deidentifier.arx.metric.Metric

Metric.AggregateFunction

Konstruktorübersicht

Konstruktoren

Modifizierer	Konstruktor	Beschreibung
protected	MetricNMEntropy()	Creates a new instance.

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
protected InformationLossWithBound<org.deidentifier.arx.metric.InformationLossDefault>	getInformationLossInternal(org.deidentifier.arx.framework.lattice.Transformation<?> node, org.deidentifier.arx.framework.check.groupify.HashGroupify g)	Evaluates the metric for the given node.
protected org.deidentifier.arx.metric.InformationLossDefault	getLowerBoundInternal(org.deidentifier.arx.framework.lattice.Transformation<?> node)	Returns a lower bound for the information loss for the given node.
protected org.deidentifier.arx.metric.InformationLossDefault	getLowerBoundInternal(org.deidentifier.arx.framework.lattice.Transformation<?> node, org.deidentifier.arx.framework.check.groupify.HashGroupify groupify)	Returns a lower bound for the information loss for the given node.
protected void	initializeInternal(org.deidentifier.arx.framework.data.DataManager manager, DataDefinition definition, org.deidentifier.arx.framework.data.Data input, org.deidentifier.arx.framework.data.GeneralizationHierarchy[] hierarchies, ARXConfiguration config)	Implement this to initialize the metric.
ElementData	render(ARXConfiguration config)	Renders the privacy model
String	toString()	Returns the name of metric.

Von Klasse geerbte Methoden org.deidentifier.arx.metric.MetricEntropy

getCache, getCardinalities, getHierarchies, getInformationLossInternal

Von Klasse geerbte Methoden org.deidentifier.arx.metric.MetricDefault

createMaxInformationLoss, createMinInformationLoss

Von Klasse geerbte Methoden org.deidentifier.arx.metric.Metric

createAECSMetric, createAECSMetric, createAmbiguityMetric, createClassificationMetric, createClassificationMetric, createDiscernabilityMetric, createDiscernabilityMetric, createEntropyBasedInformationLossMetric, createEntropyBasedInformationLossMetric, createEntropyMetric, createEntropyMetric, createEntropyMetric, createEntropyMetric, createEntropyMetric, createEntropyMetric, createHeightMetric, createHeightMetric, createInstanceOfHighestScore, createInstanceOfLowestScore, createKLDivergenceMetric, createLossMetric, createLossMetric, createLossMetric, createLossMetric, createMetric, createNormalizedEntropyMetric, createNormalizedEntropyMetric, createPrecisionMetric, createPrecisionMetric, createPrecisionMetric, createPrecisionMetric, createPrecisionMetric, createPrecisionMetric, createPrecisionMetric, createPrecisionMetric, createPrecomputedEntropyMetric, createPrecomputedEntropyMetric, createPrecomputedEntropyMetric, createPrecomputedEntropyMetric, createPrecomputedEntropyMetric, createPrecomputedEntropyMetric, createPrecomputedLossMetric, createPrecomputedLossMetric, createPrecomputedLossMetric, createPrecomputedLossMetric, createPrecomputedNormalizedEntropyMetric, createPrecomputedNormalizedEntropyMetric, createPublisherPayoutMetric, createPublisherPayoutMetric, createStaticMetric, createStaticMetric, getAggregateFunction, getConfiguration, getDescription, getDescription, getGeneralizationFactor, getGeneralizationSuppressionFactor, getInformationLoss, getInformationLoss, getLowerBound, getLowerBound, getName, getNumRecords, getScore, getSubset, getSuppressionFactor, initialize, isAbleToHandleClusteredMicroaggregation, isAbleToHandleMicroaggregation, isGSFactorSupported, isIndependent, isMonotonic, isMonotonicWithGeneralization, isMonotonicWithSuppression, isMultiDimensional, isPrecomputed, isScoreFunctionSupported, isWeighted, list, round

Von Klasse geerbte Methoden java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Konstruktordetails

MetricNMEntropy

protected MetricNMEntropy()

Creates a new instance.

Methodendetails

render

public ElementData render(ARXConfiguration config)

Beschreibung aus Klasse kopiert: Metric

Renders the privacy model

Setzt außer Kraft:

render in Klasse MetricEntropy

Gibt zurück:

toString

public String toString()

Beschreibung aus Klasse kopiert: Metric

Returns the name of metric.

Setzt außer Kraft:

toString in Klasse MetricEntropy

Gibt zurück:

getInformationLossInternal

protected InformationLossWithBound<org.deidentifier.arx.metric.InformationLossDefault> getInformationLossInternal(org.deidentifier.arx.framework.lattice.Transformation<?> node,
 org.deidentifier.arx.framework.check.groupify.HashGroupify g)

Beschreibung aus Klasse kopiert: Metric

Evaluates the metric for the given node.

Setzt außer Kraft:

getInformationLossInternal in Klasse MetricEntropy

Parameter:

node - The node for which to compute the information loss

g - The groupify operator of the previous check

Gibt zurück:

the double

getLowerBoundInternal

protected org.deidentifier.arx.metric.InformationLossDefault getLowerBoundInternal(org.deidentifier.arx.framework.lattice.Transformation<?> node)

Beschreibung aus Klasse kopiert: Metric

Returns a lower bound for the information loss for the given node. This can be used to expose the results of monotonic shares of a metric, which can significantly speed-up the anonymization process. If no such metric exists, simply return null.

Setzt außer Kraft:

getLowerBoundInternal in Klasse MetricEntropy

Parameter:

node -

Gibt zurück:

getLowerBoundInternal

protected org.deidentifier.arx.metric.InformationLossDefault getLowerBoundInternal(org.deidentifier.arx.framework.lattice.Transformation<?> node,
 org.deidentifier.arx.framework.check.groupify.HashGroupify groupify)

Beschreibung aus Klasse kopiert: Metric

Returns a lower bound for the information loss for the given node. This can be used to expose the results of monotonic shares of a metric, which can significantly speed-up the anonymization process. If no such metric exists, simply return null.

This variant of the method allows computing a monotonic share based on a groupified data representation. IMPORTANT NOTE: The groups may not have been classified correctly when the method is called, i.e., HashGroupifyEntry.isNotOutlier may not be set correctly!

Setzt außer Kraft:

getLowerBoundInternal in Klasse MetricEntropy

Parameter:

node -

groupify -

Gibt zurück:

initializeInternal

protected void initializeInternal(org.deidentifier.arx.framework.data.DataManager manager,
 DataDefinition definition,
 org.deidentifier.arx.framework.data.Data input,
 org.deidentifier.arx.framework.data.GeneralizationHierarchy[] hierarchies,
 ARXConfiguration config)

Beschreibung aus Klasse kopiert: Metric

Implement this to initialize the metric.

Setzt außer Kraft:

initializeInternal in Klasse MetricEntropy

Parameter:

manager -

definition -

input -

hierarchies -

config -