基于贝叶斯方法的垃圾邮件过滤技术综述

A Survey of Bayesian Spam Filtering

垃圾邮件问题始终困扰着人们,因此一直是当今互联网面临的主要问题之一。许多优秀的文本分类算法被引入垃圾邮件过滤领域,其中包括贝叶斯分类方法。与其他分类方法相比,贝叶斯方法由于其简易实现性,线性计算复杂性、以及准确性成为当今垃圾邮件过滤技术中最流行的方法之一。该文将对基于贝叶斯方法的垃圾邮件过滤技术做出分析和综述,并提出进一步的研究方向。

Spam is one of the major problems of today's Internet because it has always plagued the people.Many excellent text classification algorithms were introduced to the field of spam filtering,including Bayesian classification method.Compare with other classification methods,Bayesian method due to its simplicity,linear computational complexity and accuracy becomes one of the most popular methods of today's spam filtering technology.This article will give a survey of Bayesian spam filtering and propose a future research directions.