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M

max(InformationLoss<?>) - Method in class org.deidentifier.arx.metric.InformationLoss
Retains the maximum of this and other.
max(InformationLoss<?>) - Method in class org.deidentifier.arx.metric.v2.AbstractILMultiDimensional
 
max(InformationLoss<?>) - Method in class org.deidentifier.arx.metric.v2.ILSingleDimensional
 
maxFrequency - Variable in class org.deidentifier.arx.aggregates.StatisticsContingencyTable
Maximal frequency in the contingency table.
maxLevel - Variable in class org.deidentifier.arx.ARXLattice.LatticeDeserializationContext
Max level
Metric<T extends InformationLoss<?>> - Class in org.deidentifier.arx.metric
Abstract base class for metrics.
Metric.AggregateFunction - Enum in org.deidentifier.arx.metric
Pluggable aggregate functions.
MetricAECS - Class in org.deidentifier.arx.metric
This class provides an implementation of the (normalized) average equivalence class size metric.
MetricConfiguration - Class in org.deidentifier.arx.metric
A class for a configuration of a metric.
MetricConfiguration(boolean, double, boolean, double, Metric.AggregateFunction) - Constructor for class org.deidentifier.arx.metric.MetricConfiguration
Constructs a new instance.
MetricDefault - Class in org.deidentifier.arx.metric
This class provides an abstract skeleton for the implementation of metrics.
MetricDefault(boolean, boolean) - Constructor for class org.deidentifier.arx.metric.MetricDefault
 
MetricDescription - Class in org.deidentifier.arx.metric
A class describing a metric and its configuration options.
MetricDM - Class in org.deidentifier.arx.metric
This class provides an implementation of the DM metric (non-monotonic).
MetricDMStar - Class in org.deidentifier.arx.metric
This class provides an implementation of the DM* metric (monotonic variant of the Discernability Metric).
MetricEntropy - Class in org.deidentifier.arx.metric
This class provides an efficient implementation of the non-uniform entropy metric.
MetricHeight - Class in org.deidentifier.arx.metric
This class provides an implementation of the Height metric.
MetricMDHeight - Class in org.deidentifier.arx.metric.v2
This class provides an implementation of the Height metric.
MetricMDNMLoss - Class in org.deidentifier.arx.metric.v2
This class implements a variant of the Loss metric.
MetricMDNMLoss() - Constructor for class org.deidentifier.arx.metric.v2.MetricMDNMLoss
Default constructor which treats all transformation methods equally.
MetricMDNMLoss(Metric.AggregateFunction) - Constructor for class org.deidentifier.arx.metric.v2.MetricMDNMLoss
Default constructor which treats all transformation methods equally.
MetricMDNMLoss(double, Metric.AggregateFunction) - Constructor for class org.deidentifier.arx.metric.v2.MetricMDNMLoss
A constructor that allows to define a factor weighting generalization and suppression.
MetricMDNMLossPotentiallyPrecomputed - Class in org.deidentifier.arx.metric.v2
This class implements a variant of the Loss metric.
MetricMDNMLossPrecomputed - Class in org.deidentifier.arx.metric.v2
This class implements a variant of the Loss metric.
MetricMDNMPrecision - Class in org.deidentifier.arx.metric.v2
This class provides an implementation of a weighted precision metric as proposed in:
Sweeney, L. (2002).
MetricMDNUEntropy - Class in org.deidentifier.arx.metric.v2
This class provides an implementation of the non-uniform entropy metric.
MetricMDNUEntropyPotentiallyPrecomputed - Class in org.deidentifier.arx.metric.v2
This class provides an implementation of the non-uniform entropy metric.
MetricMDNUEntropyPrecomputed - Class in org.deidentifier.arx.metric.v2
This class provides an efficient implementation of the non-uniform entropy metric.
MetricMDNUEntropyPrecomputed(boolean, boolean, Metric.AggregateFunction) - Constructor for class org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed
Precomputed.
MetricMDNUNMEntropy - Class in org.deidentifier.arx.metric.v2
This class provides an implementation of the non-uniform entropy metric.
MetricMDNUNMEntropyPotentiallyPrecomputed - Class in org.deidentifier.arx.metric.v2
This class provides an implementation of the non-uniform entropy metric.
MetricMDNUNMEntropyPrecomputed - Class in org.deidentifier.arx.metric.v2
This class provides an implementation of the non-uniform entropy metric.
MetricMDNUNMNormalizedEntropy - Class in org.deidentifier.arx.metric.v2
This class provides an implementation of normalized non-uniform entropy
MetricMDNUNMNormalizedEntropyPotentiallyPrecomputed - Class in org.deidentifier.arx.metric.v2
This class provides an implementation of normalized non-uniform entropy
MetricMDNUNMNormalizedEntropyPrecomputed - Class in org.deidentifier.arx.metric.v2
This class provides an efficient implementation of normalized non-uniform entropy
MetricMDNUNMNormalizedEntropyPrecomputed(Metric.AggregateFunction) - Constructor for class org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPrecomputed
Creates a new instance.
MetricMDPrecision - Class in org.deidentifier.arx.metric.v2
This class provides an implementation of a weighted precision metric as proposed in:
Sweeney, L. (2002).
MetricMDStatic - Class in org.deidentifier.arx.metric.v2
This class provides an implementation of a static metric in which information loss is user-defined per generalization level.
MetricNMEntropy - Class in org.deidentifier.arx.metric
This class provides an efficient implementation of a non-monotonic and non-uniform entropy metric.
MetricNMPrecision - Class in org.deidentifier.arx.metric
This class provides an implementation of a weighted precision metric as proposed in:
Sweeney, L. (2002).
MetricPrecision - Class in org.deidentifier.arx.metric
This class provides an implementation of a monotonic weighted precision metric.
MetricSDAECS - Class in org.deidentifier.arx.metric.v2
This class provides an implementation of the (normalized) average equivalence class size metric.
MetricSDDiscernability - Class in org.deidentifier.arx.metric.v2
This class provides an implementation of the monotonic DM* metric.
MetricSDNMAmbiguity - Class in org.deidentifier.arx.metric.v2
This class implements a variant of the Ambiguity metric.
MetricSDNMAmbiguity() - Constructor for class org.deidentifier.arx.metric.v2.MetricSDNMAmbiguity
Default constructor.
MetricSDNMDiscernability - Class in org.deidentifier.arx.metric.v2
This class provides an implementation of the non-monotonic DM metric.
MetricSDNMKLDivergence - Class in org.deidentifier.arx.metric.v2
This class implements the KL Divergence metric.
MetricSDNMKLDivergence() - Constructor for class org.deidentifier.arx.metric.v2.MetricSDNMKLDivergence
Default constructor.
MetricStatic - Class in org.deidentifier.arx.metric
This class provides an implementation of a static metric in which information loss is user-defined per generalization level.
MetricWeighted<T extends InformationLoss<?>> - Class in org.deidentifier.arx.metric
This class provides an abstract skeleton for the implementation of weighted metrics.
MetricWeighted(boolean, boolean) - Constructor for class org.deidentifier.arx.metric.MetricWeighted
Constructor.
min(InformationLoss<?>) - Method in class org.deidentifier.arx.metric.InformationLoss
Retains the minimum of this and other.
min(InformationLoss<?>) - Method in class org.deidentifier.arx.metric.v2.AbstractILMultiDimensional
 
min(InformationLoss<?>) - Method in class org.deidentifier.arx.metric.v2.ILSingleDimensional
 
minLevel - Variable in class org.deidentifier.arx.ARXLattice.LatticeDeserializationContext
Min level
multiply(Date, Date) - Method in class org.deidentifier.arx.DataType.ARXDate
 
multiply(Date, double) - Method in class org.deidentifier.arx.DataType.ARXDate
 
multiply(Date, int) - Method in class org.deidentifier.arx.DataType.ARXDate
 
multiply(String, String) - Method in class org.deidentifier.arx.DataType.ARXDate
 
multiply(Double, double) - Method in class org.deidentifier.arx.DataType.ARXDecimal
 
multiply(Double, Double) - Method in class org.deidentifier.arx.DataType.ARXDecimal
 
multiply(Double, int) - Method in class org.deidentifier.arx.DataType.ARXDecimal
 
multiply(String, String) - Method in class org.deidentifier.arx.DataType.ARXDecimal
 
multiply(Long, double) - Method in class org.deidentifier.arx.DataType.ARXInteger
 
multiply(Long, int) - Method in class org.deidentifier.arx.DataType.ARXInteger
 
multiply(Long, Long) - Method in class org.deidentifier.arx.DataType.ARXInteger
 
multiply(String, String) - Method in class org.deidentifier.arx.DataType.ARXInteger
 
multiply(String, String) - Method in interface org.deidentifier.arx.DataType.DataTypeWithRatioScale
 
multiply(T, double) - Method in interface org.deidentifier.arx.DataType.DataTypeWithRatioScale
 
multiply(T, int) - Method in interface org.deidentifier.arx.DataType.DataTypeWithRatioScale
 
multiply(T, T) - Method in interface org.deidentifier.arx.DataType.DataTypeWithRatioScale
 
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