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《Journal of Beijing Polytechnic University》 2003-02
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Junk E-mail Filtering Method Based on Data Mining

LI Wen-bin, LIU Chun-nian, HUANG Jia-jin ( Multimedia and Intelligent Software Technology Lab, College of Computer Science, Beijing University of Technology, Beijing 100022, China )  
The authors analyze the essence of some existing algorithms of junk E-mail filtering rules and give the way to represent an E-mail as a transaction. After the datasets are expressed as the transaction sets, the frequent feature sets can be mined from the datasets by means of FP-Tree algorithm. Finally, the problem about how to express the frequent feature sets as rules and how to apply the rules is also discussed.
【Fund】: 国家自然科学基金(60173014);; 北京市自然科学基金(4022003);; 北京市教委科技发展基金
【CateGory Index】: TP311.13
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