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基于最小风险贝叶斯算法的邮件过滤系统设计 被引量:1

Design of Mail Filter System Based on Arithmetic
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摘要 大量垃圾邮件的出现给用户收发邮件带来了极大的困扰.在朴素贝叶斯算法的基础上,利用最小风险贝叶斯算法修正过滤器,设计出了一种新的电子邮件过滤系统模型.重点讨论了实现该系统所需处理的几个关键问题,最后给出了实验结果. The emergence of a sea of rubbish E - mail makes the users in great trouble collecting the E - mail. Based on the simple Bayesian arithmetic, a new model for E - mail filter system is designed using the least risk Bayes to revise the filter, several key problems in dealing with the realization of the system are discussed,and lastly,the result of the experiment is brought forth.
出处 《河北师范大学学报(自然科学版)》 CAS 北大核心 2006年第4期403-406,共4页 Journal of Hebei Normal University:Natural Science
关键词 邮件过滤 最小风险贝叶斯 向量空间模型 特征抽取 遗传算法 mail filter least risk bayes VSM feature extraction GA
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  • 1JASON D,RENNIE M.An application of machine learning to E-mail filtering[EB/OL].http://www.cs.cmu.edu/jr6b/papers/ifile 98.ps,1998-08-20.
  • 2SAHAMI M,DUMAIS S,HECKERMAN D.A bayesian approach to filtering junk E-mail[EB/OL].http://ai.stanford.edu/users/sahami/papers.html,1998-07-19.
  • 3SAHARNI M.Using machine learning to improve information access[D].Standford:Stanford University,1998.
  • 4KOLLER D,SAHAMI M.Hierarchically classifying documents using very few words[EB/OL].http://www.dmresearch.net/papers/1000000040.pdf,1997-02-25.

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