Package org.deidentifier.arx.risk

Klasse RiskEstimateBuilder

java.lang.Object

org.deidentifier.arx.risk.RiskEstimateBuilder

public class RiskEstimateBuilder
extends Object

A builder for risk estimates

Konstruktorübersicht

Konstruktoren

Konstruktor	Beschreibung
RiskEstimateBuilder(ARXPopulationModel population, DataHandleInternal handle, Set<String> identifiers, ARXConfiguration arxconfig)	Creates a new instance
RiskEstimateBuilder(ARXPopulationModel population, DataHandleInternal handle, Set<String> identifiers, ARXSolverConfiguration solverconfig, ARXConfiguration arxconfig)	Creates a new instance
RiskEstimateBuilder(ARXPopulationModel population, DataHandleInternal handle, RiskModelHistogram classes, ARXConfiguration arxconfig)	Creates a new instance
RiskEstimateBuilder(ARXPopulationModel population, DataHandleInternal handle, RiskModelHistogram classes, ARXSolverConfiguration solverconfig, ARXConfiguration arxconfig)	Creates a new instance

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
RiskModelAttributes	getAttributeRisks()	Returns a class providing access to an analysis of potential quasi-identifiers using the concepts of alpha distinction and alpha separation.
RiskModelHistogram	getEquivalenceClassModel()	Returns a model of the equivalence classes in this data set
HIPAAIdentifierMatch[]	getHIPAAIdentifiers()	Returns the a set of potential HIPAA identifiers.
HIPAAIdentifierMatch[]	getHIPAAIdentifiers(double threshold)	Returns the a set of potential HIPAA identifiers.
RiskEstimateBuilderInterruptible	getInterruptibleInstance()	Returns an interruptible instance of this object.
RiskModelPopulationUniqueness	getPopulationBasedUniquenessRisk()	Returns a class providing population-based uniqueness estimates
RiskModelSampleRisks	getSampleBasedReidentificationRisk()	Returns a class providing sample-based re-identification risk estimates
RiskModelSampleRiskDistribution	getSampleBasedRiskDistribution()	Returns a class representing the distribution of prosecutor risks in the sample
RiskModelSampleSummary	getSampleBasedRiskSummary(double threshold)	Returns a risk summary
RiskModelSampleSummary	getSampleBasedRiskSummary(double threshold, String suppressed)	Returns a risk summary
RiskModelSampleWildcard	getSampleBasedRiskSummaryWildcard(double threshold)	Returns a risk summary, using wildcard matching. "*" will be interpreted as a wildcard
RiskModelSampleWildcard	getSampleBasedRiskSummaryWildcard(double threshold, String wildcard)	Returns a risk summary, using wildcard matching
RiskModelSampleUniqueness	getSampleBasedUniquenessRisk()	Returns a class providing sample-based uniqueness estimates

Von Klasse geerbte Methoden java.lang.Object

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

Konstruktordetails

RiskEstimateBuilder

public RiskEstimateBuilder(ARXPopulationModel population,
 DataHandleInternal handle,
 RiskModelHistogram classes,
 ARXConfiguration arxconfig)

Creates a new instance

Parameter:

population -

handle -

classes -

RiskEstimateBuilder

public RiskEstimateBuilder(ARXPopulationModel population,
 DataHandleInternal handle,
 RiskModelHistogram classes,
 ARXSolverConfiguration solverconfig,
 ARXConfiguration arxconfig)

Creates a new instance

Parameter:

population -

handle -

classes -

solverconfig -

RiskEstimateBuilder

public RiskEstimateBuilder(ARXPopulationModel population,
 DataHandleInternal handle,
 Set<String> identifiers,
 ARXConfiguration arxconfig)

Creates a new instance

Parameter:

population -

handle -

identifiers -

RiskEstimateBuilder

public RiskEstimateBuilder(ARXPopulationModel population,
 DataHandleInternal handle,
 Set<String> identifiers,
 ARXSolverConfiguration solverconfig,
 ARXConfiguration arxconfig)

Creates a new instance

Parameter:

population -

handle -

identifiers -

solverconfig -

Methodendetails

getAttributeRisks

public RiskModelAttributes getAttributeRisks()

Returns a class providing access to an analysis of potential quasi-identifiers using the concepts of alpha distinction and alpha separation.

Gibt zurück:

the RiskModelAttributes data from risk analysis

getEquivalenceClassModel

public RiskModelHistogram getEquivalenceClassModel()

Returns a model of the equivalence classes in this data set

Gibt zurück:

getHIPAAIdentifiers

public HIPAAIdentifierMatch[] getHIPAAIdentifiers()

Returns the a set of potential HIPAA identifiers. Values are matched with a confidence threshold of 50%

Gibt zurück:

getHIPAAIdentifiers

public HIPAAIdentifierMatch[] getHIPAAIdentifiers(double threshold)

Returns the a set of potential HIPAA identifiers. Values are matched with the given confidence threshold.

Parameter:

threshold - Confidence threshold

Gibt zurück:

getInterruptibleInstance

public RiskEstimateBuilderInterruptible getInterruptibleInstance()

Returns an interruptible instance of this object.

Gibt zurück:

getPopulationBasedUniquenessRisk

public RiskModelPopulationUniqueness getPopulationBasedUniquenessRisk()

Returns a class providing population-based uniqueness estimates

Gibt zurück:

getSampleBasedReidentificationRisk

public RiskModelSampleRisks getSampleBasedReidentificationRisk()

Returns a class providing sample-based re-identification risk estimates

Gibt zurück:

getSampleBasedRiskDistribution

public RiskModelSampleRiskDistribution getSampleBasedRiskDistribution()

Returns a class representing the distribution of prosecutor risks in the sample

Gibt zurück:

getSampleBasedRiskSummary

public RiskModelSampleSummary getSampleBasedRiskSummary(double threshold)

Returns a risk summary

Parameter:

threshold - Acceptable highest probability of re-identification for a single record. Please note that this threshold may be exceeded by up to 1% due to rounding issues.

Gibt zurück:

getSampleBasedRiskSummary

public RiskModelSampleSummary getSampleBasedRiskSummary(double threshold,
 String suppressed)

Returns a risk summary

Parameter:

threshold - Acceptable highest probability of re-identification for a single record. Please note that this threshold may be exceeded by up to 1% due to rounding issues.

suppressed -

Gibt zurück:

getSampleBasedRiskSummaryWildcard

public RiskModelSampleWildcard getSampleBasedRiskSummaryWildcard(double threshold)

Returns a risk summary, using wildcard matching. "*" will be interpreted as a wildcard

Parameter:

threshold - Acceptable highest probability of re-identification for a single record. Please note that this threshold may be exceeded by up to 1% due to rounding issues.

Gibt zurück:

getSampleBasedRiskSummaryWildcard

public RiskModelSampleWildcard getSampleBasedRiskSummaryWildcard(double threshold,
 String wildcard)

Returns a risk summary, using wildcard matching

Parameter:

threshold - Acceptable highest probability of re-identification for a single record. Please note that this threshold may be exceeded by up to 1% due to rounding issues.

wildcard - String to interpret as a wildcard

Gibt zurück:

getSampleBasedUniquenessRisk

public RiskModelSampleUniqueness getSampleBasedUniquenessRisk()

Returns a class providing sample-based uniqueness estimates

Gibt zurück: