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基于内容分析的电子邮件过滤模型的设计 被引量:2

Design of Content-based E-mail Filtering Model
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摘要 电子邮件在给人们带来很多方便的同时,也产生了一个新的问题,即大量垃圾邮件的出现。邮件过滤就是从大量邮件中过滤出垃圾邮件。文章介绍了基于内容分析的邮件过滤,讨论了邮件分类的一种方法,以及使用该方法实现基于内容分析的电子邮件过滤的模型。 While E-mail brings people large convenience, it results in a new problem, which is a great deal of junk mails. Mail filtering is that filter junk mails from many E-mails. This paper introduces the content-based E-mail filtering, discusses a method of mail classification and gives its model.
出处 《计算机工程》 EI CAS CSCD 北大核心 2005年第15期39-41,共3页 Computer Engineering
基金 国家"863"计划引导项目(2003AA001032) 湖北省科技攻关基金资助项目(20002P0127)
关键词 垃圾邮件 质心分类算法 邮件分类 过滤模型 Junk mail Centroid-based classification Mail classification Filtering model
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参考文献3

  • 1Han 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
  • 2Yang 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
  • 3McCallum 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

同被引文献10

  • 1黄淑华.反垃圾电子邮件技术综述[J].福建商业高等专科学校学报,2006(2):37-40. 被引量:1
  • 2王斌,潘文锋.基于内容的垃圾邮件过滤技术综述[J].中文信息学报,2005,19(5):1-10. 被引量:129
  • 3王新梅,卢苇,尹朝庆,吕亚兵.基于文本挖掘的邮件分类与过滤[J].计算机工程与应用,2006,42(2):135-137. 被引量:6
  • 4赵治国,谭敏生,李志敏.基于改进贝叶斯的垃圾邮件过滤算法综述[J].南华大学学报(自然科学版),2006,20(1):33-38. 被引量:4
  • 5管建和,邓刚.用贝叶斯算法实现垃圾邮件过滤[J].电脑编程技巧与维护,2006(6):53-56. 被引量:1
  • 6Andrew Farrugia.Investigation of Support Vector Machines for EmailClassification[D].2004.
  • 7DUMAIS S T, PLATT J, HECKERMAN D, et al. Inductive learning algorithms and representations for text categorization [ C ] //Proc of Pmc ACMa-Conf Information and Knowledge Management. 1998 : 148- 155.
  • 8LANGLEY P, IBA W, THOMPSON K. An analysis of Bayesian classifiers[ C ] //Proc of the 10th National Conference on Artificial Intelligence. Menlo Park : AAAI Press, 1992:223- 228.
  • 9HAN E H, KARYPIS G. Centroid-based document classification algorithms: analysis & experimental results, Technical Report TR-00- 017. Minneapolis: Department of Computer Science, University of Minnesota, 2000.
  • 10ANDROUTSOPOULOS I, KOUTSIAS J, CHANDRINOS K V, et al. An evaluation of naive Bayesian anti-spam filtering[ C ] //Proc of the llth Workshop on Machine Learning in the New Information Age, European Conference on Machine Learning. 2000:9-17.

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