Uncertainty Modeling for Data Mining: A Label Semantics Approach(基于不确定性建模的数据挖掘)

Machinelearninganddataminingareinseparablyconnectedwithuncertainty.Theobservabledataforlearningisusuallyimprecise,incompleteornoisy.UncertaintyModelingforDataMiningALabelSemanticsApproachintroduces'labelsemantics',afuzzy-logic-basedtheoryformodelinguncertainty.Severalnewdataminingalgorithmsbasedonlabelsemanticsareproposedandtestedonreal-worlddatasets.Aprototypeinterpretationoflabelsemanticsandnewprototype-baseddataminingalgorithmsarealsodiscussed.Thisbookoffersavaluableresourceforpostgraduates,researchersandotherprofessionalsinthefieldsofdatamining,fuzzycomputinganduncertaintyreasoning.