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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.
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