计算机工程与应用2012，Vol.48Issue(34)：116-119,170,5.DOI:10.3778/j.issn.1002-8331.1204-0711
应用特征词分类贡献的垃圾邮件过滤研究
Feature words classification contribution applied in spam filtering
摘要
Abstract
The paper considers the different classification contribution of feature word for spam filtering, through the definition of classification contribution ratio, and applies into feature selection and Naive Bayes filter design, finally carries out an experimental on the English corpus. The results show that the application of feature words classification contribution of spam filtering method can effectively improve the recognition ability and lower the mis-judgment rate of the filter on the legitimate e-mail and spam.关键词
特征词/信息增益/垃圾邮件/朴素贝叶斯Key words
feature word/ information gain/ spam/ Naive Bayes分类
信息技术与安全科学引用本文复制引用
翟军昌,秦玉平,车伟伟..应用特征词分类贡献的垃圾邮件过滤研究[J].计算机工程与应用,2012,48(34):116-119,170,5.基金项目
国家自然科学基金(No.61104106). （No.61104106）
