一个基于Naive Bayesian垃圾邮件过滤器的改进  

Design of an Improved Spam Filter Based on Naive Bayesian Classifier

作　　者：成宝国[1] 冯宏伟[1] 

机构地区：[1]西北大学计算机科学系,陕西西安710069

出　　处：《计算机技术与发展》2006年第2期98-99,共2页Computer Technology and Development

摘　　要：近几年来,垃圾邮件成为互联网的公害之一。现有的反垃圾邮件技术中,基于统计方法的Naive Bayesian分类算法在垃圾邮件过滤中有很好的效果。文中简单介绍了Naive Bayesian分类算法,提出了一种旨在提高垃圾邮件过滤精确率的改进方案,并给出了实验结果。In recent years, sparn does much harm to Internet. In kinds of anti - sparn technologies, Naive Bayesian classifier basecl on statistical method works effectively on spare filtration. In this paper, describes Bayesian filter in brief. Furthermore, presents an improved model based on Naive Bayesian spare filter.

关 键 词：垃圾邮件 NAIVE Bayesian文本分类器 反垃圾邮件技术 

分 类 号：TP393.098[自动化与计算机技术—计算机应用技术]