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基于组合算法的中文反垃圾邮件分类系统的研究

Research of Chinese anti-spam categorization system based on hybrid algorithm
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摘要 论述了一种采用组合算法实现的垃圾邮件分类系统,并在Windows平台下用Visual Basic 6.0实现。本系统工作在邮件客户端,基于邮件内容的解析,相对于只使用基于分类器的垃圾邮件分类系统,不仅能有效快速地分类邮件,同时提高了分类的精度、降低误判率。 This paper discussed realizing junk mail Categorization System by a Hybrid Algorithm and implementing in Visual Basic 6.0 on Windows platform.This system worked on mail client and resolved based mail content.Relativing to junk mail Categorization System which only made use of single classifier,this system could classify mail effectivly and efficiently,at the same time this system could improve precision of classifying mail and reduce miscarriage of justice ratio.
出处 《计算机应用研究》 CSCD 北大核心 2008年第6期1825-1827,1835,共4页 Application Research of Computers
基金 国家自然科学基金资助项目(60473042)
关键词 垃圾邮件 向量空间算法 贝叶斯算法 组合算法 spam vector space model bayesian algorithm hybrid algorithm
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  • 1李惠娟,高峰,管晓宏,黄亮.基于贝叶斯神经网络的垃圾邮件过滤方法[J].微电子学与计算机,2005,22(4):107-111. 被引量:21
  • 2盛骤 谢式千 等.概率论与数理统计(第二版)[M].北京:高等教育出版社,1989.279-284. 被引量:25
  • 3Han E H,Karypis G .Centroid-based Document Classification Algorithms:Analysis & Experimental Results.Technical Report TR-00-017,Department of Computer Science,University of Minnesota,Minneapolis.http://www.cs.umn .edu/~karypis,2000 被引量:1
  • 4Yang Y,Liu X.A Re-examination of Text Categorization Methods.In 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'99),1999:42-49 被引量:1
  • 5McCallum A,Nigam K.A Comparison of Event Models for Naive Bayes Text Classification.Madison,WI:In AAAI-98 Workshop on Learning for Text Categorization,1998:41-48 被引量:1
  • 6Jiawei Han,Micheline Kamber,范明,孟小峰,等.数据挖掘概念与技术[M].2005.157. 被引量:8
  • 7Cohen W.Learning rules that classify e-mail[A].Proceedings of AAAI Spring Symposium on Machine Learning in Information Access[C].California:Palo Alto.pp,1996. 被引量:1
  • 8Provost J.Naive-bayes vs.rule-learning in classification of email[R].The University of Texas at Austin:Artificial Intelligence Lab Technical Report AI-TR-99-284,1999. 被引量:1
  • 9Sahami M,Dumais S,Heckerman D,et al.A Bayesian approach to filtering junk e-mail[C].Wisconsin:Proceedings of AAAI-98 Workshop on Learning for Text Categorization,Madison,1998. 被引量:1
  • 10Dudaro,Hartpe.Pattern Classification and Scene analysis[M].New York:John Wiley&Sons,1973. 被引量:1

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