Using LDA and Ant Colony Algorithm for Spam Mail Filtering

摘要：

Spam mails are extremely inconvenient, annoying and wasteful to most users since they waste time and bandwidth. To efficiently resolve this problem, a new spam mail filtering algorithm is proposed by using linear discriminant analysis(LDA) and ant colony optimization(ACO) algorithm. The experimental results show that this algorithm is feasible and performs much better than other typical spam filtering algorithms.

关键词： spam mail filtering linear discriminant analysis (LDA) ant colony optimization(ACO) data mining

作者: Hui Yin Fengjuan Cheng Dexian Zhang

作者单位: School of Information Science and Technology Henan University of Technology Zhengzhou, China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan, C

会议类型: 国际会议

会议名称: Second International Symposium on Information Science and Engineering(第二届信息科学与工程国际会议)

会议地点: 上海

会议语种:英文

页码: 368-371

在线出版日期: 2009-12-26（万方平台首次上网日期，不代表论文的发表时间）