摘要
邮件过滤是反垃圾邮件的一种重要方法,其中基于邮件内容的过滤又是一种重要的、有效的过滤手段.基于电子邮件是一种半结构化的数据,并且,电子邮件中主要包括的是文本信息,因此,本文将文本挖掘的分类技术和方法引入到邮件过滤系统模型中,以实现对垃圾邮件的过滤.
E-mail filtering is a major method of anti-spam, and content-based spam filtering is an important and effective means of filtering. E-mail is semi-structured, and text information is included mainly. So, in this paper, classification technologies of text mining are introducted to spam filtering system model as to bring about spam filtering.
出处
《鞍山师范学院学报》
2009年第2期49-52,共4页
Journal of Anshan Normal University
关键词
垃圾邮件
数据处理
文本
过滤
信息提取
Spam
Data Processing
Text
Filtering
Information Extraction