Package org.deidentifier.arx.framework.check.groupify

Klasse HashGroupify

java.lang.Object

org.deidentifier.arx.framework.check.groupify.HashGroupify

public class HashGroupify
extends Object

A hash groupify operator. It implements a hash table with chaining and keeps track of additional properties per equivalence class

Konstruktorübersicht

Konstruktoren

Konstruktor	Beschreibung
HashGroupify(int capacity, ARXConfiguration.ARXConfigurationInternal config, int dataAnalyzedNumberOfColumns, DataMatrix input, DataMatrix output, DataMatrix analyzed, int[] suppressedCodes)	Constructs a new hash groupify operator.

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
void	addFromBuffer(int generalized, int other, int representative, int count, int pcount)	Adds a tuple from the buffer
void	addFromGroupify(int generalized, Distribution[] distributions, int representative, int count, int pcount)	Adds an entry from another groupify operator
void	addFromSnapshot(int generalized, int[][] elements, int[][] frequencies, int representative, int count, int pcount)	Adds a class from a snapshot
HashGroupifyEntry	getEntry(int[] tuple)	Returns the entry for the given tuple
HashGroupifyEntry	getFirstEquivalenceClass()	Returns the first entry
DataMatrix	getInputData()	Returns the input data matrix
int	getNumberOfEquivalenceClasses()	Returns the current size in terms of classes
DataMatrix	getOutputData()	Returns the output data
boolean	isCompletelyGeneralized(HashGroupifyEntry entry)	Returns whether the given entry is completely generalized
boolean	isMinimalClassSizeFulfilled()	Returns whether the current state of the dataset fulfills the minimal class-size property
boolean	isPrivacyModelFulfilled()	Returns whether the current state of the dataset fulfills the privacy model
Data	performMicroaggregation(DataAggregationInformation microaggregationData, Dictionary dictionary)	Returns a data object with microaggregation performed
void	performSuppression()	Suppresses all records in the output dataset which (a) do not satisfy privacy requirements, or (b) are not included in the research subset
void	stateAnalyze(Transformation<?> transformation, boolean force)	Analyzes the current state
void	stateClear()	Clears all entries
void	stateResetSuppression()	This method will reset all flags that indicate that equivalence classes are suppressed.

Von Klasse geerbte Methoden java.lang.Object

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

Konstruktordetails

HashGroupify

public HashGroupify(int capacity,
 ARXConfiguration.ARXConfigurationInternal config,
 int dataAnalyzedNumberOfColumns,
 DataMatrix input,
 DataMatrix output,
 DataMatrix analyzed,
 int[] suppressedCodes)

Constructs a new hash groupify operator.

Parameter:

capacity - The capacity

config - The config

input -

output -

analyzed -

suppressedCodes -

aggregation - The aggregation information

Methodendetails

addFromBuffer

public void addFromBuffer(int generalized,
 int other,
 int representative,
 int count,
 int pcount)

Adds a tuple from the buffer

Parameter:

generalized -

other -

representative -

count -

pcount -

addFromGroupify

public void addFromGroupify(int generalized,
 Distribution[] distributions,
 int representative,
 int count,
 int pcount)

Adds an entry from another groupify operator

Parameter:

generalized -

distributions -

representative -

count -

pcount -

addFromSnapshot

public void addFromSnapshot(int generalized,
 int[][] elements,
 int[][] frequencies,
 int representative,
 int count,
 int pcount)

Adds a class from a snapshot

Parameter:

generalized -

elements -

frequencies -

representative -

count -

pcount -

getEntry

public HashGroupifyEntry getEntry(int[] tuple)

Returns the entry for the given tuple

Parameter:

tuple -

Gibt zurück:

getFirstEquivalenceClass

public HashGroupifyEntry getFirstEquivalenceClass()

Returns the first entry

Gibt zurück:

getInputData

public DataMatrix getInputData()

Returns the input data matrix

Gibt zurück:

getNumberOfEquivalenceClasses

public int getNumberOfEquivalenceClasses()

Returns the current size in terms of classes

Gibt zurück:

getOutputData

public DataMatrix getOutputData()

Returns the output data

Gibt zurück:

isCompletelyGeneralized

public boolean isCompletelyGeneralized(HashGroupifyEntry entry)

Returns whether the given entry is completely generalized

Parameter:

entry -

Gibt zurück:

isMinimalClassSizeFulfilled

public boolean isMinimalClassSizeFulfilled()

Returns whether the current state of the dataset fulfills the minimal class-size property

Gibt zurück:

isPrivacyModelFulfilled

public boolean isPrivacyModelFulfilled()

Returns whether the current state of the dataset fulfills the privacy model

Gibt zurück:

performMicroaggregation

public Data performMicroaggregation(DataAggregationInformation microaggregationData,
 Dictionary dictionary)

Returns a data object with microaggregation performed

Parameter:

microaggregationData -

dictionary -

Gibt zurück:

performSuppression

public void performSuppression()

Suppresses all records in the output dataset which
(a) do not satisfy privacy requirements, or
(b) are not included in the research subset

Parameter:

dictionary -

stateAnalyze

public void stateAnalyze(Transformation<?> transformation,
 boolean force)

Analyzes the current state

Parameter:

transformation -

force -

stateClear

public void stateClear()

Clears all entries

stateResetSuppression

public void stateResetSuppression()

This method will reset all flags that indicate that equivalence classes are suppressed.