Package | Description |
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org.deidentifier.arx |
This package provides the public API for the ARX anonymization framework.
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org.deidentifier.arx.framework.check.distribution |
This package implements means for efficiently maintaining distributions of values
for each equivalence class
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org.deidentifier.arx.framework.check.groupify |
This package implements different hash-groupify operators.
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org.deidentifier.arx.framework.data |
This package implements data management, i.e., encoding and representing input data, output data and generalization
hierarchies
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org.deidentifier.arx.metric.v2 |
Modifier and Type | Method and Description |
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protected DistributionAggregateFunction |
AttributeType.MicroAggregationFunction.getFunction()
Returns the aggregate function.
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Modifier and Type | Class and Description |
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static class |
DistributionAggregateFunction.DistributionAggregateFunctionArithmeticMean
This class calculates the arithmetic mean for a given distribution.
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static class |
DistributionAggregateFunction.DistributionAggregateFunctionGeneralization
This class generalizes the given distribution.
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static class |
DistributionAggregateFunction.DistributionAggregateFunctionGeometricMean
This class calculates the geometric mean for a given distribution.
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static class |
DistributionAggregateFunction.DistributionAggregateFunctionInterval
This class calculates the mode for a given distribution.
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static class |
DistributionAggregateFunction.DistributionAggregateFunctionMedian
This class calculates the median for a given distribution.
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static class |
DistributionAggregateFunction.DistributionAggregateFunctionMode
This class calculates the mode for a given distribution.
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Modifier and Type | Method and Description |
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abstract DistributionAggregateFunction |
DistributionAggregateFunction.clone()
Clones this function
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Modifier and Type | Method and Description |
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Data |
HashGroupify.performMicroaggregation(int[][] data,
int start,
int num,
DistributionAggregateFunction[] functions,
int[] map,
java.lang.String[] header,
Dictionary dictionary)
Microaggregates all according attributes
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Modifier and Type | Method and Description |
---|---|
DistributionAggregateFunction[] |
DataManager.getMicroaggregationFunctions()
Returns the microaggregation functions.
|
Constructor and Description |
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DataManager(DataDefinition definition,
Data dataAnalyzed,
Data dataGeneralized,
Data dataStatic,
java.lang.String[] header,
GeneralizationHierarchy[] hierarchiesGeneralized,
int[] hierarchiesHeights,
java.util.Map<java.lang.String,GeneralizationHierarchy> hierarchiesSensitive,
java.util.Map<java.lang.String,java.lang.Integer> indexesSensitive,
int[] maxLevels,
DistributionAggregateFunction[] microaggregationFunctions,
java.lang.String[] microaggregationHeader,
int[] microaggregationMap,
int[] microaggregationDomainSizes,
int microaggregationNumAttributes,
int microaggregationStartIndex,
int[] minLevels,
java.util.Map<java.lang.String,DataType<?>> dataTypesSensitive)
For creating a projected instance
|
DataManagerSubset(DataManager source,
Data dataAnalyzed,
Data dataGeneralized,
Data dataStatic,
java.lang.String[] header,
GeneralizationHierarchy[] hierarchiesGeneralized,
int[] hierarchiesHeights,
java.util.Map<java.lang.String,GeneralizationHierarchy> hierarchiesSensitive,
java.util.Map<java.lang.String,java.lang.Integer> indexesSensitive,
int[] maxLevels,
DistributionAggregateFunction[] microaggregationFunctions,
java.lang.String[] microaggregationHeader,
int[] microaggregationMap,
int[] microaggregationDomainSizes,
int microaggregationNumAttributes,
int microaggregationStartIndex,
int[] minLevels,
java.util.Map<java.lang.String,DataType<?>> dataTypesSensitive)
Constructor
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Constructor and Description |
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DataManager(java.lang.String[] header,
int[][] data,
Dictionary dictionary,
DataDefinition definition,
java.util.Set<PrivacyCriterion> criteria,
java.util.Map<java.lang.String,DistributionAggregateFunction> functions)
Creates a new data manager from pre-encoded data.
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Modifier and Type | Method and Description |
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protected DistributionAggregateFunction[] |
AbstractMetricMultiDimensional.getAggregateFunctions()
Returns the aggregate functions used for microaggregation
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protected DistributionAggregateFunction[] |
AbstractMetricSingleDimensional.getMicroaggregationFunctions()
Needed for microaggregation
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protected DistributionAggregateFunction[] |
AbstractMetricMultiDimensional.getMicroaggregationFunctions()
Needed for microaggregation
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Modifier and Type | Method and Description |
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static double |
MetricSDNMEntropyBasedInformationLoss.getEntropyBasedInformationLoss(Transformation transformation,
HashGroupifyEntry entry,
DomainShare[] shares,
DistributionAggregateFunction[] microaggregationFunctions,
int microaggregationStartIndex,
double maxIL)
Implements the entropy-based IL model.
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protected double |
AbstractMetricMultiDimensional.getError(DistributionAggregateFunction function,
Distribution distribution)
Returns the error induced by aggregating values in the distribution
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