Package org.deidentifier.arx.criteria

Klasse AverageReidentificationRisk

java.lang.Object

org.deidentifier.arx.criteria.PrivacyCriterion

org.deidentifier.arx.criteria.SampleBasedCriterion

org.deidentifier.arx.criteria.RiskBasedCriterion

org.deidentifier.arx.criteria.AverageReidentificationRisk

Alle implementierten Schnittstellen:

Serializable

public class AverageReidentificationRisk
extends RiskBasedCriterion

This criterion ensures that an estimate for the average re-identification risk falls below a given threshold. Furthermore a relaxed variant of this model is also implemented, supporting average risk, highest risk and a fraction of records allowed to exceed the highest risk

Siehe auch:

• Serialisierte Form

Konstruktorübersicht

Konstruktoren

Konstruktor	Beschreibung
AverageReidentificationRisk(double riskThreshold)	Creates a new instance of this model.
AverageReidentificationRisk(double averageRisk, double highestRisk, double recordsAtRisk)	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.

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
AverageReidentificationRisk	clone()	Clone
double	getAverageRisk()
double	getEffectiveHighestRisk()	Returns the effective highest risk, i.e. the threshold that is actually being used by the software.
double	getHighestRisk()	Returns the threshold set by the user.
double	getRecordsAtRisk()
double	getRiskThresholdMarketer()	Return marketer risk threshold, 1 if there is none
boolean	isLocalRecodingSupported()	Returns whether the criterion supports local recoding.
ElementData	render()	Renders the privacy model
String	toString()	Returns a string representation.

Von Klasse geerbte Methoden org.deidentifier.arx.criteria.RiskBasedCriterion

enforce, getRequirements, getRiskThreshold

Von Klasse geerbte Methoden org.deidentifier.arx.criteria.SampleBasedCriterion

isAnonymous, isSampleBased

Von Klasse geerbte Methoden org.deidentifier.arx.criteria.PrivacyCriterion

clone, getDataSubset, getMinimalClassSize, getPopulationModel, getRiskThresholdJournalist, getRiskThresholdProsecutor, getSubset, initialize, isHeuristicSearchSupported, isHeuristicSearchWithTimeLimitSupported, isMinimalClassSizeAvailable, isMonotonicWithGeneralization, isMonotonicWithSuppression, isOptimalSearchSupported, isSubsetAvailable

Von Klasse geerbte Methoden java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Konstruktordetails

AverageReidentificationRisk

public AverageReidentificationRisk(double riskThreshold)

Creates a new instance of this model.

Parameter:

riskThreshold -

AverageReidentificationRisk

public AverageReidentificationRisk(double averageRisk,
 double highestRisk,
 double recordsAtRisk)

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. Note: Due to rounding issues, the highest risk may be exceeded by up to 1%. To see the threshold that is actually being used, invoke getEffectiveHighestRisk()

Parameter:

averageRisk -

highestRisk -

recordsAtRisk -

Methodendetails

clone

public AverageReidentificationRisk clone()

Beschreibung aus Klasse kopiert: PrivacyCriterion

Clone

Angegeben von:

clone in Klasse PrivacyCriterion

getAverageRisk

public double getAverageRisk()

Gibt zurück:

the average risk

getEffectiveHighestRisk

public double getEffectiveHighestRisk()

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

Gibt zurück:

the highest risk

getHighestRisk

public double getHighestRisk()

Returns the threshold set by the user. Please consider the effective threshold, i.e. the threshold that is actually being used by the software.

Gibt zurück:

the highest risk

getRecordsAtRisk

public double getRecordsAtRisk()

Gibt zurück:

the records at risk

getRiskThresholdMarketer

public double getRiskThresholdMarketer()

Return marketer risk threshold, 1 if there is none

Setzt außer Kraft:

getRiskThresholdMarketer in Klasse PrivacyCriterion

Gibt zurück:

isLocalRecodingSupported

public boolean isLocalRecodingSupported()

Beschreibung aus Klasse kopiert: PrivacyCriterion

Returns whether the criterion supports local recoding.

Angegeben von:

isLocalRecodingSupported in Klasse PrivacyCriterion

Gibt zurück:

render

public ElementData render()

Beschreibung aus Klasse kopiert: PrivacyCriterion

Renders the privacy model

Angegeben von:

render in Klasse PrivacyCriterion

Gibt zurück:

toString

public String toString()

Beschreibung aus Klasse kopiert: PrivacyCriterion

Returns a string representation.

Angegeben von:

toString in Klasse PrivacyCriterion

Gibt zurück: