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《Journal of Chengdu University(Natural Science Edition)》 2010-02
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Filter Methods of Chinese Spasm Based on Fuzzy Support Vector Machine

ZHAO Haitao1,2,WEI Yan1,LAI Min1,CHEN Shougang1(1.School of Mathmatics and Computer Science,Chongqing Normal University,Chongqing 400047,China;2.Chongqing Zhengda Software Polytechnic College,Chongqing 400047,China)  
With the widespread use of e-mail,the issue of spam is also increasingly severe.Content-based filtering is one of the mainstream technologies used so far.In this paper,a method of fuzzy support vector machine with a fuzzy membership degree for Chinese spam filtering was proposed for the decision of membership function of FSVM.A new method of membership function which improves the method based on center of cluster was used.After the experiment,using FSVM,spam filter can achieve better results.
【Fund】: 重庆市教委科技计划基金资助项目(KJ090823)
【CateGory Index】: TP393.098
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