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《Journal of University of Electronic Science and Technology of China》 2011-01
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Application of Game Theory for Email Feature Selection

SUN Jing-tao1,2,ZHANG Qiu-yu1,YUAN Zhan-ting1,and DONG Jian-she1(1.College of Computer and Communication,Lanzhou University of Technology Lanzhou 730050; 2.Gansu Oil Products Company,China Petroleum & Chemical Corporation Lanzhou 730030)  
The shortages existed in the e-mail feature selection method is first analyzed.A new spam filtering feature selection model based on game theory is then proposed.The game theory is applied to feature selection of mail in order to reduce the scale of information and improve the efficiency of spam filtering.When designing the feature selection model,the impact acted by fuzzy membership of mail samples on feature selection is considered.The feature selection model's handling capacity for practical problems is enhanced by using a blending sample measure of fuzzy membership function in the definition of feature points to mail category discrimination.The experiments performed on CDSCE Corpus show that the mail feature selection is better than other feature selection methods.
【Fund】: 十一五国家科技支撑计划资助项目(2006BAF01A21);; 甘肃省教育厅科研基金(0703-07);; 甘肃省自然科学基金项目(0803RJZA024)
【CateGory Index】: TP393.098
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