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《Computer Engineering and Applications》 2008-28
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Spam filter approach based on Support Vector Machine

FAN Jie-ting,LAI Hui-cheng College of Information Science & Engineering,Xinjiang University,Urumuqi 830046,China  
Content-based filtering is one of the mainstream technologies used so far.In view of which the essence of spam filter is the classify problem,this paper aims to provide a kind of filter method against spam based on SVM,and tries to adopt SMO algorithm to categorize the spam.Through the experiment,SMO algorithm can perform better,and the classification time of SVM classifier is reduced greatly.
【Fund】: 新疆高校科研重点项目No.XJEDU2007I07~~
【CateGory Index】: TP393.098
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