Package org.deidentifier.arx

Klasse AttributeType.MicroAggregationFunction

java.lang.Object

org.deidentifier.arx.AttributeType

org.deidentifier.arx.AttributeType.MicroAggregationFunction

Typparameter:

T -

Alle implementierten Schnittstellen:

Serializable, Cloneable

Umschließende Klasse:

AttributeType

public static class AttributeType.MicroAggregationFunction
extends AttributeType
implements Serializable

This class is used to define aggregate functions for microaggregation.

Siehe auch:

• Serialisierte Form

Verschachtelte Klassen - Übersicht

Von Klasse geerbte verschachtelte Klassen/Schnittstellen org.deidentifier.arx.AttributeType

AttributeType.Hierarchy, AttributeType.MicroAggregationFunction, AttributeType.MicroAggregationFunctionDescription

Feldübersicht

Von Klasse geerbte Felder org.deidentifier.arx.AttributeType

ATTR_TYPE_ID, ATTR_TYPE_IS, ATTR_TYPE_QI, ATTR_TYPE_SE, IDENTIFYING_ATTRIBUTE, INSENSITIVE_ATTRIBUTE, QUASI_IDENTIFYING_ATTRIBUTE, SENSITIVE_ATTRIBUTE

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
AttributeType.MicroAggregationFunction	clone()	Clones this function
static AttributeType.MicroAggregationFunction	createArithmeticMean()	Creates a microaggregation function returning the arithmetic mean.
static AttributeType.MicroAggregationFunction	createArithmeticMean(boolean ignoreMissingData)	Creates a microaggregation function returning the arithmetic mean.
static AttributeType.MicroAggregationFunction	createGeometricMean()	Creates a microaggregation function returning the geometric mean.
static AttributeType.MicroAggregationFunction	createGeometricMean(boolean ignoreMissingData)	Creates a microaggregation function returning the geometric mean.
static AttributeType.MicroAggregationFunction	createInterval()	Creates a microaggregation function returning intervals.
static AttributeType.MicroAggregationFunction	createInterval(boolean ignoreMissingData)	Creates a microaggregation function returning intervals.
static AttributeType.MicroAggregationFunction	createMedian()	Creates a microaggregation function returning the median.
static AttributeType.MicroAggregationFunction	createMedian(boolean ignoreMissingData)	Creates a microaggregation function returning the median.
static AttributeType.MicroAggregationFunction	createMode()	Creates a microaggregation function returning the mode.
static AttributeType.MicroAggregationFunction	createMode(boolean ignoreMissingData)	Creates a microaggregation function returning the mode.
static AttributeType.MicroAggregationFunction	createModeWithDistributionFallback(boolean ignoreMissingData, Map<String,Double> distribution, Long seed)	Creates a microaggregation function returning the mode.
static AttributeType.MicroAggregationFunction	createModeWithDistributionFallback(Map<String,Double> distribution, long seed)	Creates a microaggregation function returning the mode.
static AttributeType.MicroAggregationFunction	createSet()	Creates a microaggregation function returning sets.
static AttributeType.MicroAggregationFunction	createSet(boolean ignoreMissingData)	Creates a microaggregation function returning sets.
DistributionAggregateFunction	getFunction()	Returns the aggregate function.
String	getLabel()	Returns a label for this function
DataScale	getRequiredScale()	Returns the required scale of measure
boolean	isTypePreserving()	Returns whether this is a type-preserving function

Von Klasse geerbte Methoden org.deidentifier.arx.AttributeType

getType, listMicroAggregationFunctions, toString

Von Klasse geerbte Methoden java.lang.Object

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

Methodendetails

createArithmeticMean

public static AttributeType.MicroAggregationFunction createArithmeticMean()

Creates a microaggregation function returning the arithmetic mean. Ignores missing data.

Gibt zurück:

createArithmeticMean

public static AttributeType.MicroAggregationFunction createArithmeticMean(boolean ignoreMissingData)

Creates a microaggregation function returning the arithmetic mean.

Parameter:

ignoreMissingData - Should the function ignore missing data. Default is true.

Gibt zurück:

createGeometricMean

public static AttributeType.MicroAggregationFunction createGeometricMean()

Creates a microaggregation function returning the geometric mean. Ignores missing data.

Gibt zurück:

createGeometricMean

public static AttributeType.MicroAggregationFunction createGeometricMean(boolean ignoreMissingData)

Creates a microaggregation function returning the geometric mean.

Parameter:

ignoreMissingData - Should the function ignore missing data. Default is true.

Gibt zurück:

createInterval

public static AttributeType.MicroAggregationFunction createInterval()

Creates a microaggregation function returning intervals. Ignores missing data.

Gibt zurück:

createInterval

public static AttributeType.MicroAggregationFunction createInterval(boolean ignoreMissingData)

Creates a microaggregation function returning intervals.

Parameter:

ignoreMissingData - Should the function ignore missing data. Default is true.

Gibt zurück:

createMedian

public static AttributeType.MicroAggregationFunction createMedian()

Creates a microaggregation function returning the median. Ignores missing data.

Gibt zurück:

createMedian

public static AttributeType.MicroAggregationFunction createMedian(boolean ignoreMissingData)

Creates a microaggregation function returning the median.

Parameter:

ignoreMissingData - Should the function ignore missing data. Default is true.

Gibt zurück:

createMode

public static AttributeType.MicroAggregationFunction createMode()

Creates a microaggregation function returning the mode. Ignores missing data.

Gibt zurück:

createModeWithDistributionFallback

public static AttributeType.MicroAggregationFunction createModeWithDistributionFallback(Map<String,Double> distribution,
 long seed)

Creates a microaggregation function returning the mode. If more than one value qualifies as mode, the function draws from the qualifying values using the provided distribution. Ignores missing data.

Parameter:

distribution - Map from values to frequencies

seed - Seed to use for drawing, can be null

Gibt zurück:

createMode

public static AttributeType.MicroAggregationFunction createMode(boolean ignoreMissingData)

Creates a microaggregation function returning the mode.

Parameter:

ignoreMissingData - Should the function ignore missing data. Default is true.

Gibt zurück:

createModeWithDistributionFallback

public static AttributeType.MicroAggregationFunction createModeWithDistributionFallback(boolean ignoreMissingData,
 Map<String,Double> distribution,
 Long seed)

Creates a microaggregation function returning the mode. If more than one value qualifies as mode, the function draws from the qualifying values using the provided distribution.

Parameter:

ignoreMissingData - Should the function ignore missing data. Default is true.

distribution - Map from values to frequencies

seed - Seed to use for drawing, can be null

Gibt zurück:

createSet

public static AttributeType.MicroAggregationFunction createSet()

Creates a microaggregation function returning sets. This variant will ignore missing data.

createSet

public static AttributeType.MicroAggregationFunction createSet(boolean ignoreMissingData)

Creates a microaggregation function returning sets.

Parameter:

ignoreMissingData - Should the function ignore missing data. Default is true.

Gibt zurück:

clone

public AttributeType.MicroAggregationFunction clone()

Clones this function

Setzt außer Kraft:

clone in Klasse AttributeType

getLabel

public String getLabel()

Returns a label for this function

Gibt zurück:

the label

getRequiredScale

public DataScale getRequiredScale()

Returns the required scale of measure

Gibt zurück:

isTypePreserving

public boolean isTypePreserving()

Returns whether this is a type-preserving function

Gibt zurück:

getFunction

public DistributionAggregateFunction getFunction()

Returns the aggregate function.

Gibt zurück: