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《Computer Engineering and Applications》 2010-02
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Mail filtering by dual membership fuzzy support vector machine

SUN Ming-song,GAO Qing-guo,WANG Xuan-dan College of Computer Science & Technology,Harbin University of Science and Technology,Harbin 150080,China  
Based on fuzzy of information contained in mail and asymmetry of legitimate mails and spam at the misjudgment price,a mail filtering method is proposed.It makes use of dual membership fuzzy support vector machine.According to provide a different pair of membership for each sample,the optimal classifier is derived.It improves the accuracy of mail filtering.The simu-lation results show that the method is able to effectively reduce the misjudgment of legitimate messages as spam.In additional,it has a high accuracy and so on.
【CateGory Index】: TP393.098
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 HUANG Ying,LI Wei,LIU Fa-sheng(Faculty of Information Engineering,Jiangxi University of Science and Technology,Ganzhou Jiangxi 341000,China);Fuzzy support vector machine algorithm with dual membership[J];Journal of Computer Applications;2007-11
【Secondary Citations】
Chinese Journal Full-text Database 1 Hits
1 LI Kun-lun 1,2,HUANG Hou-kuan1,TIAN Sheng-feng1 (1 School of Computer & Information Technology,Beijing Jiaotong University,Beijing 100044,China; 2 School of Computer Science,Hebei University,Baoding,Hebei 071002,China);Fuzzy Support Vector Machine for Multi-Class Classification[J];Acta Electronica Sinica;2004-05
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