## Uses of Class
org.deidentifier.arx.aggregates.quality.QualityMeasureColumnOriented

Packages that use QualityMeasureColumnOriented
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)

### Uses of QualityMeasureColumnOriented in org.deidentifier.arx.aggregates

Methods in org.deidentifier.arx.aggregates that return QualityMeasureColumnOriented
`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.

### Uses of QualityMeasureColumnOriented in org.deidentifier.arx.aggregates.quality

Methods in org.deidentifier.arx.aggregates.quality that return QualityMeasureColumnOriented
`QualityMeasureColumnOriented` QualityModelColumnOrientedSquaredError.`evaluate()`
`QualityMeasureColumnOriented` QualityModelColumnOrientedPrecision.`evaluate()`
`QualityMeasureColumnOriented` QualityModelColumnOrientedNonUniformEntropy.`evaluate()`
`QualityMeasureColumnOriented` QualityModelColumnOrientedLoss.`evaluate()`