邮件过滤Agent的设计 |
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引用本文: | 孙英娟,;蒲东兵,;孙英慧,;李春宜,;周春光.邮件过滤Agent的设计[J].长春邮电学院学报,2008(6):576-579. |
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作者姓名: | 孙英娟 ;蒲东兵 ;孙英慧 ;李春宜 ;周春光 |
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作者单位: | [1]吉林大学计算机科学与技术学院,长春130012; [2]长春师范学院计算机学院,长春130032; [3]东北师范大学计算机学院,长春130024; [4]吉林师范大学计算机学院,吉林四平136000 |
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基金项目: | 国家自然科学基金资助项目(60433020);吉林省教育厅科技计划基金资助项目(吉教科合字[2007]第172号) |
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摘 要: | 为实现对电子邮件中垃圾邮件的过滤,提出一种新的邮件过滤算法和邮件过滤Agent的设计方法。Agent通过算法学习用户接收邮件的信息及用户对邮件的处理习惯,据此最终确定邮件是否为垃圾邮件或病毒邮件,从而过滤掉非正常邮件。实验测试表明,Agent对邮件过滤的正确率可达85%,为现有电子邮件系统提供了一种改进方法。
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关 键 词: | 邮件过滤 AGENT 邮件分类 |
Design of Agent for Email Filtrating |
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Affiliation: | SUN Ying-juan, PU Dong-bing, SUN Ying-hui, LI Chun-yi, ZHOU Chun-guang(1. College of Computer Science and Technology, Jilin University, Changchun 130012, China; 2. College of Computer, Changchun Teachers College, Changchun 130032, China; 3. College of Computer, Northeast Normal University, Changchun 130024, China; 4. College of Computer Science, Jilin Normal University, Siping 136000, China) |
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Abstract: | In order to filter out the dump emails, a new algorithm and Agent design for email filtrating are proposed. The Agent can learn from received email information and user's operating habit with the algorithm, and confirm whether a new email is dump email or viruses email in order to filtrate it ultimately. The experiment shows the Agent can achieve 85% correct ratio. An ameliorating method were presented for existed email system. |
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Keywords: | email filtrating Agent email classifying |
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