学科分类
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1 个结果
  • 简介:Privacypreservingdataminingalgorithmsarecrucialforthepersonaldataanalysis,suchasmedicalandfinancialrecords.Thispaperfocusesonfeatureselectionandproposesanewprivacypreservingdistributedalgorithm,whichcaneffectivelyselectfeaturesbasedondifferentialprivacyandGiniindexundertheMapReduceframework.Atthesametime,thetheoreticanalysisforprivacyguaranteeisalsopresented.Someexperimentsareconductedonbench-markdatasets,thesimulationresultsindicatethatduringtheselectionofimportantfeatures,theproposedalgorithmcanpreserveprivacyinformationtoacertainextentwithlesstimecostthanoncentralizedcounterpart.

  • 标签: 特征选择 框架 数据挖掘算法 隐私保护 分布式算法 数据分析