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基于贝叶斯理论的中文垃圾邮件过滤技术理论探讨
引用本文:邵必林,马维平,边根庆. 基于贝叶斯理论的中文垃圾邮件过滤技术理论探讨[J]. 网络安全技术与应用, 2007, 0(4): 89-91
作者姓名:邵必林  马维平  边根庆
作者单位:西安建筑科技大学,陕西,710055
摘    要:本文在对中文邮件关键词提取方法、关键词的降维处理与优化提炼以及垃圾邮件识别概率等方面进行理论探讨的同时,较为详细地阐述了中文环境下贝叶斯过滤技术的使用方法,这对有效减少垃圾邮件数量,提高网络利用率具有重要的理论价值和现实意义。

关 键 词:垃圾邮件  贝叶斯过滤  特征项  样本  自学习

Discussion on the Filtering Technology of Chinese Spam Mail Based on Bayesian Theory
Shao Bilin,Ma Weiping,Bian Genqing. Discussion on the Filtering Technology of Chinese Spam Mail Based on Bayesian Theory[J]. Net Security Technologies and Application, 2007, 0(4): 89-91
Authors:Shao Bilin  Ma Weiping  Bian Genqing
Abstract:thanks to the diversity and complexity of the word formation of key words(attribute item) in Chinese mail,it is difficult to use Bayesian filtering technology widely under Chinese environment.In order to reduce spam mail and make use of the Internet as much as possible,it is of great significance to discuss some relevant problems under Chinese environment such as selection method,dimension reduction and optimization of key words,identification probability of spam mail and the use of Bayesian filtering technology.
Keywords:spam mail  Bayesian filtering  attribute item  sample  self-teaching
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