摘要
电子邮件是互联网的重要应用之一,邮件分类问题已成为当今研究的热点。本文基于粗糙集理论,利用0-1贝努利数据提出双向邮件分类模型,在保证当前分类正确率的前提下,约简了邮件分类所需的文本词频信息,较好地提高了分类效率,推进了粗糙集理论在邮件分类中的应用。
Electronic mail is one of the most popular services of the Internet. E-mail classification has been a hot topic in recent years. According to the rough set theory, a two-way email classification model is introduced using the 0-1 Bernoulli data. This model retains the accuracy of the results in email classification. In this model,the information on the terms~ fre- quency, which is important to the classification of texts, is reduced and the classification efficiency is increased. This method spreads the application of the rough set theory in email classification.
出处
《计算机工程与科学》
CSCD
2008年第10期8-10,18,共4页
Computer Engineering & Science
