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基于遗传算法、贝叶斯学习的网段反垃圾邮件系统 被引量:5

E_mail Filtering System of Network Segement Based on Genetic Algorithom and Bayes Learning
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摘要 提出了一种基于贝叶斯方法的反垃圾邮件系统,讨论了其工作的基本思想及理论依据,并设计出该系统的体系结构。其中特别对该系统的邮件特征提取和自学习机制的理论进行了较为详尽的说明。最后,讨论了系统实现。 This paper proposes one kind of Anti Spam E_mail system, discusses the basical idea and theory basic of the system, and designs the architecture of it. It especially accounts for the E mail property extracting and the self-taught mechanism. At finally, it discusses the implemetation of this E mail system.
出处 《计算机工程》 CAS CSCD 北大核心 2006年第2期189-190,193,共3页 Computer Engineering
基金 四川省科技厅重点科技攻关资助项目"通用智能反垃圾邮件系统"(03GG-006-021)
关键词 邮件过滤 客户端过滤 贝叶斯分类器 垃圾邮件 特征提取 遗传算法 E_mail filtering Filter of client Bayesian classification Junk of E_mail Character extracting Genetic algorithom
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