计算机与现代化Issue(2)：129-132,4.DOI:10.3969/j.issn.1006-2475.2014.02.030
一种基于条件熵的垃圾邮件过滤算法
A Spam Filtering Algorithm Based on Conditional Entropy
摘要
Abstract
In spam filtering , according to the filter misjudgment for legitimate mails , we put forward an improved spam filtering algorithm , which improves the conditional entropy estimation method of information gain .Combined with the Bayes minimum risk decision method , we analyze the algorithm through the recall and accuracy by carrying out an experiment on the English Corpus . Experimental results show that the improved algorithm can enhance the classification precision and reduce the misjudgment of le -gitimate emails, which can reduce the loss of users .关键词
垃圾邮件/信息增益/条件熵/最小风险Key words
spam/information gain/conditional entropy/minimum risk分类
信息技术与安全科学引用本文复制引用
翟军昌,车伟伟..一种基于条件熵的垃圾邮件过滤算法[J].计算机与现代化,2014,(2):129-132,4.基金项目
国家自然科学基金资助项目 （）
