Verwendungen von Package
org.deidentifier.arx.metric.v2
Packages, die org.deidentifier.arx.metric.v2 verwenden
Package
Beschreibung
This package provides the public API for the ARX anonymization framework.
This package implements data management, i.e., encoding and representing input data, output data and generalization
hierarchies
Package providing access to quality models
Main package implementing quality models
-
Von org.deidentifier.arx verwendete Klassen in org.deidentifier.arx.metric.v2
-
Von org.deidentifier.arx.framework.data verwendete Klassen in org.deidentifier.arx.metric.v2KlasseBeschreibungBase interface for domain shares.This class represents a reliable set of domain shares for an attribute.
-
Von org.deidentifier.arx.metric verwendete Klassen in org.deidentifier.arx.metric.v2KlasseBeschreibungThis class implements an information loss which can be represented as a decimal number per quasi-identifier.This class implements information loss using score values for data-independent differential privacy with appropriate comparison semantics (i.e. higher score values are better).This class implements an information loss which can be represented as a single decimal number.This class implements a the entropy-based information loss model proposed in:
A Game Theoretic Framework for Analyzing Re-Identification Risk.This class implements a model which maximizes publisher benefit according to the model proposed in:
A Game Theoretic Framework for Analyzing Re-Identification Risk.A class encapsulating information about data quality -
Von org.deidentifier.arx.metric.v2 verwendete Klassen in org.deidentifier.arx.metric.v2KlasseBeschreibungThis class implements an information loss which can be represented as a decimal number per quasi-identifier.This class implements an information loss which can be represented as a decimal number per quasi-identifier.This class provides an abstract skeleton for the implementation of multi-dimensional metrics.This class provides an abstract skeleton for the implementation of metrics that can either be precomputed or not.This class provides an abstract skeleton for the implementation of single-dimensional metrics.Base interface for domain shares.This class represents a set of domain shares for an attribute.This class represents a set of domain shares for an attribute.This class represents a set of domain shares for an attribute.This class represents a reliable set of domain shares for an attribute.This class implements an information loss which can be represented as a decimal number per quasi-identifier.Information loss with a potential lower bound.This class implements information loss using score values for data-independent differential privacy with appropriate comparison semantics (i.e. higher score values are better).This class implements an information loss which can be represented as a single decimal number.Information loss with a potential lower bound.This class implements a variant of the Loss metric.This class provides an implementation of a weighted precision metric as proposed in:
Sweeney, L. (2002).This class provides an efficient implementation of the non-uniform entropy metric.This class provides an implementation of the non-uniform entropy metric.This class provides an efficient implementation of normalized non-uniform entropy.This class provides an implementation of the non-monotonic DM metric.This class implements a the entropy-based information loss model proposed in:
A Game Theoretic Framework for Analyzing Re-Identification Risk.This class implements a model which maximizes publisher benefit according to the model proposed in:
A Game Theoretic Framework for Analyzing Re-Identification Risk.A class encapsulating information about data quality