RESEARCH ON A NAIVE BAYESIAN BASED SHORT MESSAGE FILTERING SYSTEM

摘要：

There are many researches on junk E-mail filtering but few on junk SMS filtering. This paper introduces a distributed SMS filtering system which is applicable on mobile network.This system has self-learning and knowledge updating capability and it can find junk SMS sender with a proper high credibility. The main algorithm used in this system is the na(i)ve Bayesian classification algorithm. Some attributes such as the length of the SMS and rules found by statistics are added to attribute set, and experiments show that it results a better performance than the traditional word based Bayesian approach. This paper also gives an approach to rank the suspicious SMS senders on their probabilities to be real junk SMS senders according to some measures.

关键词： Bayesian classification SMS filtering Attribute extraction

作者: WEI-WEI DENG HONG PENG

作者单位: Department of Computer Science, South China University of China, Guangzhou 510641, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 1233-1237

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）