Improved Chinese Spam Filtering Algorithm Based on AIS

摘要：

AIS EC model is not so effective in generation of self libraries and gene libraries .It improved the efficiency of self libraries and gene libraries generation by adding MI and the frequency of words and improved the auto-update strategy of self libraries and gene libraries. Experiments showed that the new algorithm can reduce at least 10％ of the time, and can reduce the fallout rate.

关键词： artificial immune spam self libraries gene libraries algorithm

作者: Jue Huang Bing Chen

作者单位: Department of Computer and Software Nanjing Institute of Industry Technology Nanjing, China College of Information Science and Technology Nanjing University of Aeronautics and Astronautics Nan

会议类型: 国际会议

会议名称: The 13th IEEE Joint International Computer Science and Information Technology Conference(2011年第13届IEEE联合国际计算机科学与信息技术会议 JICSIT 2011)

会议地点: 重庆

会议语种:英文

页码: 1013-1015

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）