| 基于朴素贝叶斯算法的个性化垃圾邮件过滤 |
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| 引用本文： | 翟军昌.基于朴素贝叶斯算法的个性化垃圾邮件过滤[J].长春师范学院学报,2009(4). |
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| 作者姓名： | 翟军昌 |
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| 作者单位： | 渤海大学公共计算机教研部; |
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| 摘 要： | 目前电子邮件得到了广泛的应用,同时垃圾邮件问题也随之而来。本文针对垃圾邮件的处理,从用户的兴趣角度出发,基于朴素贝叶斯算法对垃圾邮件个性化过滤.在朴素贝叶斯算法的条件概率计算中,本文选用了多变量贝努里事件模型的计算方法,最后以VC++6.0为实验平台在Ling-Spam语料库上进行实验.
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| 关 键 词： | 垃圾邮件 朴素贝叶斯 信息增益 多变量贝努里事件模型 |
Personalized Spam Filtering Based on Naive Bayes Algorithm |
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| ZHAI Jun-chang.Personalized Spam Filtering Based on Naive Bayes Algorithm[J].Journal of Changchun Teachers College,2009(4). |
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| Authors: | ZHAI Jun-chang |
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| Institution: | Department of Public Computer Teaching & Research;Bohai University;Jinzhou 121013;China |
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| Abstract: | E-mail is widely used all over the world recently.At the same time,junk e-mail problems also arise.In order to deal with the spam,from the users point of interest,the paper was based on the naive Bayesian algorithm for personalized spam filter.In terms of probability calculation of Naive Bayes algorithm,the paper selected calculation of multi-variable model of Bernoulli event,and carried out an experiment on the Ling-Spam Corpus with VC ++6.0 platform. |
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| Keywords: | spam email Naive Bayes information gain multi-variable model of Bernoulli events |
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