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。
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.
出处
《计算机工程与应用》
CSCD
北大核心
2006年第33期122-124,156,共4页
Computer Engineering and Applications
关键词
邮件分类
垃圾邮件
特征选择
E-mail classifying
spam
feature selection
