| 基于改进贝叶斯的垃圾邮件过滤系统设计与实现 |
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| 引用本文： | 丁文斌,李斌,罗浩.基于改进贝叶斯的垃圾邮件过滤系统设计与实现[J].计算机工程与应用,2005,41(18):127-130. |
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| 作者姓名： | 丁文斌 李斌 罗浩 |
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| 作者单位： | 哈尔滨工业大学国家网络信息安全重点实验室,哈尔滨,150001;哈尔滨工业大学国家网络信息安全重点实验室,哈尔滨,150001;哈尔滨工业大学国家网络信息安全重点实验室,哈尔滨,150001 |
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| 基金项目： | 国家863资助项目“计算机病毒防范计划”(编号:863-104-02-01) |
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| 摘 要： | 该文设计并实现了一种基于改进贝叶斯的垃圾邮件过滤系统。传统的贝叶斯方法对邮件进行过滤时,将邮件视为一个无序关键词的向量空间,丢掉了词与词之间,句子之间的相互关系。该文则将邮件视为句间有序,句子内部关键词无序但是相关的部分有序的集合。减少传统方法处理时信息的丢失。得到的实验结果比传统方法更好。
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| 关 键 词： | 垃圾邮件 贝叶斯 过滤器 |
| 文章编号： | 1002-8331-(2005)18-0127-04 |
Filtering Spam System Based on Improved Bayes |
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| Ding Wenbin,Li Bin,LUO Hao.Filtering Spam System Based on Improved Bayes[J].Computer Engineering and Applications,2005,41(18):127-130. |
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| Authors: | Ding Wenbin Li Bin LUO Hao |
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| Abstract: | In this text,we have developed a new filtering spam system based on improved bayes.When using the traditional bayes method to filter spam,it treats email as a vector space out of order,deserting the relation of the words and the sentences.In the text,we treat email as ordering sentetces,and in every sentence,the words are out of order but have relations.The method reduces the loss of the information.The result illustrates that the improved method is better than the traditional bayes method. |
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| Keywords: | spam bayes filter |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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