THE FEATURE SUBSET SELECTION ALGORITHM

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摘要 Themotivationofdataminingishowtoextracteffectiveinformationfromhugedatainverylargedatabase.However,someredundantandirrelevantattributes,whichresultinlowperformanceandhighcomputingcomplexity,areincludedintheverylargedatabaseingeneral.So,FeatureSubsetSelection(FSS)becomesoneimportantissueinthefieldofdatamining.Inthisletter,anFSSmodelbasedonthefilterapproachisbuilt,whichusesthesimulatedannealinggeneticalgorithm.Experimentalresultsshowthatconvergenceandstabilityofthisalgorithmareadequatelyachieved.
机构地区 不详
出版日期 2003年01月11日(中国期刊网平台首次上网日期,不代表论文的发表时间)
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