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基于AIS的垃圾邮件双层过滤方法的研究
引用本文:毛瑞龙,吴丹,别荣芳,高晓智.基于AIS的垃圾邮件双层过滤方法的研究[J].计算机工程与设计,2009,30(24).
作者姓名:毛瑞龙  吴丹  别荣芳  高晓智
作者单位:1. 北京师范大学,信息科学与技术学院,北京,100875
2. 芬兰赫尔辛基工业大学智能电力电子中心,赫尔辛基,02150
基金项目:国家自然科学(青年)基会项目 
摘    要:提出了一种新型的双层垃圾邮件过滤方法.该方法基于免疫学习,免疫记忆和免疫识别等机制,具有一定的自适应能力和多样性,充分利用了垃圾邮件与非垃圾邮件的特征,从而降低了非垃圾邮件被错判的风险.实验结果表明,双层过滤方法可有效的降低垃圾邮件的虚报率(非垃圾邮件被错判为垃圾邮件的比例).

关 键 词:垃圾邮件  邮件过滤  人工免疫  双层过滤  邮件分类

Research of double-tiers spam filtering method based on AIS
MAO Rui-long,WU Dan,BIE Rong-fang,GAO Xiao-zhi.Research of double-tiers spam filtering method based on AIS[J].Computer Engineering and Design,2009,30(24).
Authors:MAO Rui-long  WU Dan  BIE Rong-fang  GAO Xiao-zhi
Abstract:A double-tiers spam filtering method is proposed. The method is based on the immune learning, immune memory and immune recognition, so it has some self-adaptive capabilities and diversity behaviors. Because of making the most of feathers of spam and nonspam, the risk of non-spam being classified incorrectly is reduced. The experimental result indicates the double-tiers method is effectual in reducing the false positives (non-spam messages that have been classified incorrectly as spam).
Keywords:spam  spam-filtering  AIS  double-tiers-filtering  Email-classification
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