Package org.deidentifier.arx.metric

Klasse MetricNMPrecision

java.lang.Object

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

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

org.deidentifier.arx.metric.MetricNMPrecision

Alle implementierten Schnittstellen:

Serializable

public class MetricNMPrecision
extends MetricWeighted<org.deidentifier.arx.metric.InformationLossDefault>

This class provides an implementation of a weighted precision metric as proposed in:
Sweeney, L. (2002). Achieving k-anonymity privacy protection using generalization and suppression.
International Journal of Uncertainty Fuzziness and, 10(5), 2002.

This metric will respect attribute weights defined in the configuration.

Siehe auch:

• Serialisierte Form

Verschachtelte Klassen - Übersicht

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

Metric.AggregateFunction

Feldübersicht

Von Klasse geerbte Felder org.deidentifier.arx.metric.MetricWeighted

weights

Konstruktorübersicht

Konstruktoren

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

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
InformationLoss<?>	createMaxInformationLoss()	Returns an instance of the maximal value.
InformationLoss<?>	createMinInformationLoss()	Returns an instance of the minimal value.
protected double	getCells()	Returns the number of cells.
protected int[]	getHeights()
protected InformationLossWithBound<org.deidentifier.arx.metric.InformationLossDefault>	getInformationLossInternal(Transformation<?> node, HashGroupify g)	Evaluates the metric for the given node.
protected InformationLossWithBound<org.deidentifier.arx.metric.InformationLossDefault>	getInformationLossInternal(Transformation<?> node, HashGroupifyEntry entry)	Returns the information loss that would be induced by suppressing the given entry.
protected org.deidentifier.arx.metric.InformationLossDefault	getLowerBoundInternal(Transformation<?> node)	Returns a lower bound for the information loss for the given node.
protected org.deidentifier.arx.metric.InformationLossDefault	getLowerBoundInternal(Transformation<?> node, HashGroupify groupify)	Returns a lower bound for the information loss for the given node.
protected void	initializeInternal(DataManager manager, DataDefinition definition, Data input, 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.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

MetricNMPrecision

protected MetricNMPrecision()

Creates a new instance.

Methodendetails

createMaxInformationLoss

public InformationLoss<?> createMaxInformationLoss()

Beschreibung aus Klasse kopiert: Metric

Returns an instance of the maximal value.

Angegeben von:

createMaxInformationLoss in Klasse Metric<org.deidentifier.arx.metric.InformationLossDefault>

Gibt zurück:

createMinInformationLoss

public InformationLoss<?> createMinInformationLoss()

Beschreibung aus Klasse kopiert: Metric

Returns an instance of the minimal value.

Angegeben von:

createMinInformationLoss in Klasse Metric<org.deidentifier.arx.metric.InformationLossDefault>

Gibt zurück:

render

public ElementData render(ARXConfiguration config)

Beschreibung aus Klasse kopiert: Metric

Renders the privacy model

Angegeben von:

render in Klasse Metric<org.deidentifier.arx.metric.InformationLossDefault>

Gibt zurück:

toString

public String toString()

Beschreibung aus Klasse kopiert: Metric

Returns the name of metric.

Setzt außer Kraft:

toString in Klasse Metric<org.deidentifier.arx.metric.InformationLossDefault>

Gibt zurück:

getCells

protected double getCells()

Returns the number of cells.

Gibt zurück:

getHeights

protected int[] getHeights()

Gibt zurück:

the heights

getInformationLossInternal

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

Beschreibung aus Klasse kopiert: Metric

Evaluates the metric for the given node.

Angegeben von:

getInformationLossInternal in Klasse Metric<org.deidentifier.arx.metric.InformationLossDefault>

Parameter:

node - The node for which to compute the information loss

g - The groupify operator of the previous check

Gibt zurück:

the double

getInformationLossInternal

protected InformationLossWithBound<org.deidentifier.arx.metric.InformationLossDefault> getInformationLossInternal(Transformation<?> node,
 HashGroupifyEntry entry)

Beschreibung aus Klasse kopiert: Metric

Returns the information loss that would be induced by suppressing the given entry. The loss is not necessarily consistent with the loss that is computed by getInformationLoss(node, groupify) but is guaranteed to be comparable for different entries from the same groupify operator.

Angegeben von:

getInformationLossInternal in Klasse Metric<org.deidentifier.arx.metric.InformationLossDefault>

Parameter:

entry -

Gibt zurück:

getLowerBoundInternal

protected org.deidentifier.arx.metric.InformationLossDefault getLowerBoundInternal(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 MetricWeighted<org.deidentifier.arx.metric.InformationLossDefault>

Parameter:

node -

Gibt zurück:

getLowerBoundInternal

protected org.deidentifier.arx.metric.InformationLossDefault getLowerBoundInternal(Transformation<?> node,
 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 MetricWeighted<org.deidentifier.arx.metric.InformationLossDefault>

Parameter:

node -

groupify -

Gibt zurück:

initializeInternal

protected void initializeInternal(DataManager manager,
 DataDefinition definition,
 Data input,
 GeneralizationHierarchy[] hierarchies,
 ARXConfiguration config)

Beschreibung aus Klasse kopiert: Metric

Implement this to initialize the metric.

Setzt außer Kraft:

initializeInternal in Klasse MetricWeighted<org.deidentifier.arx.metric.InformationLossDefault>

Parameter:

manager -

definition -

input -

hierarchies -

config -