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基于贝叶斯公式的垃圾邮件过滤方法
引用本文:詹川,卢显良,周旭,侯孟书,袁连海.基于贝叶斯公式的垃圾邮件过滤方法[J].计算机科学,2005,32(2):73-75.
作者姓名:詹川  卢显良  周旭  侯孟书  袁连海
作者单位:电子科技大学计算机科学与工程学院,成都,610054
基金项目:信息产业部电工业生产发展基金,编号:[2002]11006
摘    要:伴随着电子邮件的广泛使用,垃圾邮件泛滥成灾,严重影响了人们正常的学习、工作和生活。本文提出了一种改进的基于贝叶斯公式垃圾邮件过滤技术。我们采用了基于词熵的特征项提取方法,并且使用特征项单词出现频率来表示向量,推导出相应的贝叶斯计算公式。实验表明,我们的方法使垃圾邮件过滤的整体性能都有明显提高。

关 键 词:垃圾邮件过滤  特征项  电子邮件  表示  整体性能  使用  提取方法  正常  泛滥  实验

An Anti-Spam E-mail Filtering Method Based on Bayesian
ZHAN Chuan,LU Xian-Liang,ZHOU Xu,HOU Meng-shu,YUAN Lian-Hai.An Anti-Spam E-mail Filtering Method Based on Bayesian[J].Computer Science,2005,32(2):73-75.
Authors:ZHAN Chuan  LU Xian-Liang  ZHOU Xu  HOU Meng-shu  YUAN Lian-Hai
Affiliation:ZHAN Chuan,LU Xian-Liang,ZHOU Xu,HOU Meng-Shu,YUAN Lian-Hai College of Computer Science and Engineering,UESTC of China,Chengdu 610054
Abstract:Along with wide application of e-mail nowadays,a large number of spam e-mails flood into people's life and bring catastrophe to their study and life. This paper presents a new Bayesian-based anti-spam e-mail filtering method. We adopt a way of attribute selection based on word entropy,use vectors which are represented by word frequency, and deduce its corresponding Bayesian formula. It is proved that our filter improves total performances apparently in our experiment.
Keywords:Bayesian  Anti-spam e-mail filtering  Attribute selection  Vector  
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