| 一种用于电子邮件分类的特征选择算法 |
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| 引用本文： | 王卫玲,刘培玉,刘克非.一种用于电子邮件分类的特征选择算法[J].计算机工程与应用,2006,42(33):122-124,156. |
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| 作者姓名： | 王卫玲 刘培玉 刘克非 |
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| 作者单位： | 山东师范大学,信息科学与工程学院,济南,250014 |
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| 摘 要： | 邮件分类是当前研究的一个热点问题,而如何进行邮件特征选择,是邮件分类中的重要问题。在介绍几种常用的邮件分类的特征选择算法的同时,提出了将非搜索型算法FCBF与搜索型算法SFS结合的特征选择方法。实验验证了该方法的有效性和可行性,能够有效提高分类器的准确率。
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| 关 键 词： | 邮件分类 垃圾邮件 特征选择 |
| 文章编号： | 1002-8331（2006）33-0122-03 |
| 收稿时间： | 2006-08 |
| 修稿时间： | 2006-08 |
Feature Selection Algorithm in Email Classification |
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| WANG Wei-ling,LIU Pei-yu,LIU Ke-fei.Feature Selection Algorithm in Email Classification[J].Computer Engineering and Applications,2006,42(33):122-124,156. |
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| Authors: | WANG Wei-ling LIU Pei-yu LIU Ke-fei |
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| Abstract: | How to classify incoming E-mails and filter spam has attracted much attention.One fundamental yet important issue in E-mail classification is how to select the appropriate features.Based on the analysis and comparison of several typical feature selection methods for E-mail classification,a new method has been proposed,which combines both FCBF and sequential forward selection.Experimental result shows that the proposed method can improve the precision of E-mail classification. |
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| Keywords: | E-mail classifying spam feature selection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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