Package | Description |
---|---|
org.deidentifier.arx.aggregates |
This package provides methods for aggregating data:
(1) builders for generalization hierarchies,
(2) various methods for analyzing data quality and utility
|
org.deidentifier.arx.aggregates.quality |
This package provides implementations of various quality models which can be
used for quality analysis (but not as optimization functions)
|
Modifier and Type | Method and Description |
---|---|
QualityMeasureColumnOriented |
StatisticsQuality.getAttributeLevelSquaredError()
Attribute-level squared error
|
QualityMeasureColumnOriented |
StatisticsQuality.getGeneralizationIntensity()
Quality according to the "Precision" model proposed in:
L. |
QualityMeasureColumnOriented |
StatisticsQuality.getGranularity()
Quality according to the "Loss" model proposed in:
Iyengar, V.: "Transforming data to satisfy privacy constraints" Proc Int Conf Knowl Disc Data Mining, p. 279-288 (2002) |
QualityMeasureColumnOriented |
StatisticsQuality.getMissings()
Returns the fraction of missing values of the attributes considered
|
QualityMeasureColumnOriented |
StatisticsQuality.getNonUniformEntropy()
Quality according to the "Non-Uniform Entropy" model proposed in:
A. |
Modifier and Type | Method and Description |
---|---|
QualityMeasureColumnOriented |
QualityModelColumnOrientedSquaredError.evaluate() |
QualityMeasureColumnOriented |
QualityModelColumnOrientedPrecision.evaluate() |
QualityMeasureColumnOriented |
QualityModelColumnOrientedNonUniformEntropy.evaluate() |
QualityMeasureColumnOriented |
QualityModelColumnOrientedLoss.evaluate() |