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一个基于Naive Bayesian垃圾邮件过滤器的改进 被引量:3

Design of an Improved Spam Filter Based on Naive Bayesian Classifier
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摘要 近几年来,垃圾邮件成为互联网的公害之一。现有的反垃圾邮件技术中,基于统计方法的Naive Bayesian分类算法在垃圾邮件过滤中有很好的效果。文中简单介绍了Naive Bayesian分类算法,提出了一种旨在提高垃圾邮件过滤精确率的改进方案,并给出了实验结果。 In recent years, sparn does much harm to Internet. In kinds of anti - sparn technologies, Naive Bayesian classifier basecl on statistical method works effectively on spare filtration. In this paper, describes Bayesian filter in brief. Furthermore, presents an improved model based on Naive Bayesian spare filter.
出处 《计算机技术与发展》 2006年第2期98-99,共2页 Computer Technology and Development
关键词 垃圾邮件 NAIVE Bayesian文本分类器 反垃圾邮件技术 spam naive Bayesian filter anti- spam technology
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参考文献5

  • 1Androutsopoulos I, Koutsias J, Chandrinos K V, et al. An Evaluation of Naive Bayesian Anti-Spam Filtering[A], Proceedings of the Workshop on Machine Learning in the New Information Age, 11th European Conference on Machine Learning (ECML 2000) [C]. Barcelona, Spain: [s, n,], 2000.9-17.
  • 2Graham. A Plan for Spam [EB/OL], http://www.paulgraham. com/spam. html, 2005-04-05.
  • 3潘文峰.[D].北京.中国科学院计算技术研究所,2004.7.
  • 4Ahmed S, Mithun F. Word Stemming to Entrance Spam Filter[A], Proceedings of the 1st Conference on Email and Anti-Spare (CEAS 2004) [C], CA, USA: Mountain View, 2004.
  • 5Porter M, Stemming Algorithm[EB/OL]. http://www.tartarus. org/martin/PorterStemmer/,2005-05-17.

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