基于贝叶斯和人工免疫系统的反垃圾邮件技术分析  

Analysis on Anti-spam Technical Based on Bayes and AIS

作　　者：李永华[1] 窦春轶[1] 

机构地区：[1]辽宁大学信息学院,沈阳110036

出　　处：《电脑编程技巧与维护》2010年第20期116-117,120,共3页Computer Programming Skills & Maintenance

摘　　要：在基于内容的各种反垃圾邮件技术中,基于贝叶斯的反垃圾邮件技术显示出了较强的分类能力和较高的准确性,而基于人工免疫系统的反垃圾邮件技术则具有良好的自适应、自学习和鲁棒性。两种技术的结合,在实践测试中取得了良好的效果。In the content_based anti-spam technology , which is based on bayes reveals its strong categorization, high precision character, which is based on AIS（Artificial Immune System ） reveals its outstanding adaptive, self-learning and robust character. The anti-spam filtering system that is based on bayes and AIS has been proved to be effective in the practical tests.

关 键 词：反垃圾邮件 贝叶斯 人工免疫系统 

分 类 号：TP393.098[自动化与计算机技术—计算机应用技术]