org.deidentifier.arx.metric

Class MetricStatic

java.lang.Object

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

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

org.deidentifier.arx.metric.MetricStatic

All Implemented Interfaces:

java.io.Serializable

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

This class provides an implementation of a static metric in which information loss is user-defined per generalization level. This metric will respect attribute weights defined in the configuration.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class org.deidentifier.arx.metric.Metric

Metric.AggregateFunction

Field Summary

Fields

Modifier and Type	Field and Description
protected java.util.Map<java.lang.String,java.util.List<java.lang.Double>>	_infoloss The user defined information loss per level, indexed by column name.

Fields inherited from class org.deidentifier.arx.metric.MetricWeighted

weights

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	MetricStatic(java.util.Map<java.lang.String,java.util.List<java.lang.Double>> infoloss) Constructor.

Method Summary

Modifier and Type	Method and Description
InformationLoss<?>	createMaxInformationLoss() Returns an instance of the maximal value.
InformationLoss<?>	createMinInformationLoss() Returns an instance of the minimal value.
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 InformationLossWithBound<org.deidentifier.arx.metric.InformationLossDefault>	getInformationLossInternal(org.deidentifier.arx.framework.lattice.Transformation<?> node, org.deidentifier.arx.framework.check.groupify.HashGroupifyEntry entry) Returns the information loss that would be induced by suppressing the given entry.
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
java.lang.String	toString() Returns the name of metric.

Methods inherited from class 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

Methods inherited from class java.lang.Object

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

Field Detail

_infoloss

protected final java.util.Map<java.lang.String,java.util.List<java.lang.Double>> _infoloss

The user defined information loss per level, indexed by column name.

Constructor Detail

MetricStatic

protected MetricStatic(java.util.Map<java.lang.String,java.util.List<java.lang.Double>> infoloss)

Constructor.

Parameters:

infoloss -

Method Detail

createMaxInformationLoss

public InformationLoss<?> createMaxInformationLoss()

Description copied from class: Metric

Returns an instance of the maximal value.

Specified by:

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

Returns:

createMinInformationLoss

public InformationLoss<?> createMinInformationLoss()

Description copied from class: Metric

Returns an instance of the minimal value.

Specified by:

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

Returns:

render

public ElementData render(ARXConfiguration config)

Description copied from class: Metric

Renders the privacy model

Specified by:

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

Returns:

toString

public java.lang.String toString()

Description copied from class: Metric

Returns the name of metric.

Overrides:

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

getInformationLossInternal

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

Description copied from class: Metric

Evaluates the metric for the given node.

Specified by:

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

Parameters:

node - The node for which to compute the information loss

g - The groupify operator of the previous check

Returns:

the double

getInformationLossInternal

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

Description copied from class: 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.

Specified by:

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

Returns:

getLowerBoundInternal

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

Description copied from class: 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.

Overrides:

getLowerBoundInternal in class MetricWeighted<org.deidentifier.arx.metric.InformationLossDefault>

Returns:

getLowerBoundInternal

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

Description copied from class: 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!

Overrides:

getLowerBoundInternal in class MetricWeighted<org.deidentifier.arx.metric.InformationLossDefault>

Returns:

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)

Description copied from class: Metric

Implement this to initialize the metric.

Overrides:

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