int absMaxOutliers
PrivacyCriterion[] aCriteria
SampleBasedCriterion[] bCriteria
java.util.Map<K,V> attributeWeights
java.util.Set<E> criteria
Metric<T extends InformationLoss<?>> metric
boolean practicalMonotonicity
boolean protectSensitiveAssociations
double relMaxOutliers
int requirements
int snapshotLength
java.lang.Integer suppressedAttributeTypes
java.lang.String suppressionString
java.lang.Boolean suppressionAlwaysEnabled
boolean heuristicSearchForSampleBasedCriteria
ARXLattice.Access access
Metric<T extends InformationLoss<?>> metric
int size
boolean uncertainty
boolean monotonicAnonymous
boolean monotonicNonAnonymous
InformationLoss<T> minimumInformationLoss
InformationLoss<T> maximumInformationLoss
ARXLattice lattice
ARXPopulationModel.Region region
double sampleFraction
org.deidentifier.arx.framework.check.distribution.DistributionAggregateFunction function
DataScale requiredScale
java.lang.String label
DataScale requiredScale
java.lang.String label
RowSet set
int[] array
java.lang.Class<T> clazz
java.util.List<E> exampleFormats
boolean hasFormat
java.lang.String label
DataScale scale
HierarchyBuilder.Type type
java.util.Map<K,V> groups
DataType<T> datatype
AggregateFunction<T> function
int size
AggregateFunction<T> function
int level
java.util.List<E> list
HierarchyBuilderGroupingBased<T> builder
HierarchyBuilderIntervalBased.Range<U> lowerRange
HierarchyBuilderIntervalBased.Range<U> upperRange
java.util.List<E> intervals
HierarchyBuilderIntervalBased.IndexNode[] children
boolean isLeaf
HierarchyBuilderIntervalBased.Interval<T>[] leafs
java.lang.Object max
java.lang.Object min
AggregateFunction<T> function
java.lang.Object max
java.lang.Object min
HierarchyBuilderGroupingBased<T> builder
java.lang.Boolean lower
HierarchyBuilderRedactionBased.Order aligmentOrder
char paddingCharacter
char redactionCharacter
HierarchyBuilderRedactionBased.Order redactionOrder
java.lang.Double maxValueLength
java.lang.Double domainSize
java.lang.Double alphabetSize
double dMin
double dMax
DataSubset subset
AttributeType.Hierarchy hierarchy
int[] tree
int start
int[] empty
RiskModelPopulationUniqueness.PopulationUniquenessModel statisticalModel
ARXPopulationModel populationModel
ARXSolverConfiguration solverConfig
double snapshotSizeDataset
double snapshotSizeSnapshot
int historySize
int maximalSizeForComplexOperations
int maxNodesInLattice
int initialNodesInViewer
int maxNodesInViewer
java.lang.String description
long inputBytes
boolean modified
java.lang.String name
char separator
CSVSyntax csvSyntax
long time
java.util.Locale locale
java.util.List<E> auditTrail
boolean debugEnabled
int[] groups
java.lang.String optimalNodeAsString
java.lang.String outputNodeAsString
java.lang.String selectedAttribute
java.lang.Boolean showVisualization
java.lang.String[] pair
java.lang.String query
java.lang.String subsetOrigin
ModelConfiguration inputConfig
ModelNodeFilter nodeFilter
ModelViewConfig viewConfig
ModelConfiguration outputConfig
ModelRisk riskModel
ModelDPresenceCriterion dPresenceModel
ModelKAnonymityCriterion kAnonymityModel
java.util.Map<K,V> lDiversityModel
java.util.Map<K,V> tClosenessModel
java.util.Set<E> riskBasedModel
MetricConfiguration metricConfig
MetricDescription metricDescription
java.lang.Boolean useListwiseDeletion
java.lang.Boolean useFunctionalHierarchies
java.util.Set<E> selectedQuasiIdentifiers
java.util.Map<K,V> min
java.util.Map<K,V> max
ARXConfiguration config
boolean modified
java.util.Map<K,V> hierarchies
java.util.Map<K,V> microAggregationFunctions
java.util.Map<K,V> microAggregationIgnoreMissingData
java.util.Map<K,V> transformationModes
RowSet researchSubset
java.lang.Double suppressionWeight
java.util.Map<K,V> hierarchyBuilders
java.util.Set<E> anonymity
java.util.Set<E>[] generalizations
int maxNumNodesInitial
double minInformationLoss
double maxInformationLoss
boolean modified
ARXPopulationModel populationModel
ARXSolverConfiguration config
int maxQiSize
java.util.Map<K,V> viewEnabledForInput
java.util.Map<K,V> viewEnabledForOutput
boolean useOutputModelIfAvailable
ModelRisk.RiskModelForAttributes riskModelForAttributes
ModelViewConfig.Mode mode
java.lang.String attribute
boolean subset
boolean sortOrder
boolean changed
boolean monotonic
double gsFactor
boolean precomputed
double precomputationThreshold
Metric.AggregateFunction aggregateFunction
java.lang.String name
boolean monotonicVariantSupported
boolean attributeWeightsSupported
boolean configurableCodingModelSupported
boolean precomputationSupported
boolean aggregateFunctionSupported
double[] weights
int dimensions
double[] min
double[] max
Metric.AggregateFunction function
boolean precomputed
double threshold
AbstractMetricMultiDimensional defaultMetric
AbstractMetricMultiDimensional precomputedMetric
private void readObject(java.io.ObjectInputStream aInputStream) throws java.lang.ClassNotFoundException, java.io.IOException
java.lang.ClassNotFoundException
java.io.IOException
private void writeObject(java.io.ObjectOutputStream aOutputStream) throws java.io.IOException
java.io.IOException
double domainSize
DataType.DataTypeWithRatioScale<T> dataType
double[] shares
private void readObject(java.io.ObjectInputStream aInputStream) throws java.lang.ClassNotFoundException, java.io.IOException
java.lang.ClassNotFoundException
java.io.IOException
private void writeObject(java.io.ObjectOutputStream aOutputStream) throws java.io.IOException
java.io.IOException
double size
double[] shares
double maxValueLength
double domainSize
double alphabetSize
double minInput
double maxInput
double minOutput
double maxOutput
double tuples
DomainShare[] shares
double gFactor
double gsFactor
double sFactor
Cardinalities cardinalities
int[][][] values
Cardinalities cardinalities
double[][] cache
int[][][] hierarchies