AN EFFICIENT SVM-BASED SPAM FILTERING ALGORITHM

摘要：

The electronic mail (e-mail) concept makes it possible to communicate with many people in an easy and cheap way.Though email brought us such huge convenience, it also caused us trouble of managing the large quantities of spam mails received everyday. Without appropriate countermeasures, the situation seems to be worsening and spare email will eventually undermine the usability of email. To efficiently solve the above problems, a spam mail filtering method using feature selection and support vector machine is proposed in this paper. The experimental results show that the proposed method outperforms other conventional spam filtering method.

关键词： SVM Spam filtering Feature selection Text classification

作者: ZI-QIANG WANG XIA SUN XIN LI DE-XIAN ZHANG

作者单位: School of Information Science and Engineering, Henan University of Technology, ZhengZhou 450052, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 3682-3686

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）