Research on Spam Filtering Technology Using Support Vector Machine

摘要：

Support Vector Machine is a novel machine learning method based on statistical learning theory, and it has beensuccessfully applied to spam filtering system. This paper gives a research to Mail-head Character Categorization using Support Vector Machine(SVM).A total of 106 features were extracted and the filtering performance is good. And the training time is substantially reduced because of the lower dimensional feature space. Finally we implement an automatic Mail-head Character Categorization system, and it also gives the test results.

作者: Zheng Mei Geng Ji Li Xiao Liu Qiao

作者单位: Department of Computer Science and Engineering University of Electronic Science and Technology of Cina Chengdu, Sichuan, China

会议类型: 国际会议

会议名称: 2007年通信、电路与系统国际会议(2007 International Conference on Communications,Circuits and Systems Proceedings)

会议地点: 日本福冈

会议语种:英文

在线出版日期: 2007-07-11（万方平台首次上网日期，不代表论文的发表时间）