RESEARCH ON FORECASTING THE DANGEROUS LEVEL TO ILLEGAL EMAIL BASED ON INTEGRATED IMMUNE EVOLUTION ALGORITHM

摘要：

TF-IDF formula can represent effectively the text characteristics; the immunity system (TIS) has many characteristics, including the distributional protection,multiplicity, auto-adapted in the information processing, it is robust and expansibility, memory ability, fault-tolerant ability,dynamic stability as well as exceptionally examines. The paper analyzes characteristics of many illegal emails and researches artificial immune method, and introduces an artificial immune method of forecasting the dangerous level of illegal email, and gets good result.

关键词： Integrated Immune Evolutionary Algorithm The model of forecasting the dangerous level TF-IDF formula illegal email

作者: KE-JIAN WANG XIAN-ZHONG HAN XIN-SHENG SUN SHU-HUI CHANG HUI-FANG QI

作者单位: Faculty of Information Science and technology, Agriculture University Hebei, Baoding 071001, China Agriculture Bureau Botou, Hebei 051000, 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: 2112-2116

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）