Anti-spam SMS system based on multi classifier fusion

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- Anti-spam SMS system based on multi classifier fusion
- Vol. 28, Issue 12, Pages: 31-36(2015)
- 作者机构：
  
  中国移动通信集团江苏有限公司
- 作者简介：
- 基金信息：
- DOI：10.13992/j.cnki.tetas.2015.12.008
  CLC： TN915.08
- Published：2015
- 稿件说明：
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[1]刘文龙,时镇军.基于多分类器融合的垃圾短信处理系统[J].电信工程技术与标准化,2015,28(12):31-36.

刘文龙, 时镇军. Anti-spam SMS system based on multi classifier fusion[J]. 2015, 28(12): 31-36.
[1]刘文龙,时镇军.基于多分类器融合的垃圾短信处理系统[J].电信工程技术与标准化,2015,28(12):31-36. DOI： 10.13992/j.cnki.tetas.2015.12.008.

刘文龙, 时镇军. Anti-spam SMS system based on multi classifier fusion[J]. 2015, 28(12): 31-36. DOI： 10.13992/j.cnki.tetas.2015.12.008.

本文提出了利用朴素贝叶斯、社交网络SNS和广告主挖掘多个分类器融合的垃圾短信处理方式

系统基于Hadoop处理平台

从用户发送内容和发送行为两个维度着手堆垃圾短信识别

可以大幅度提升目前垃圾短信治理的召回率和准确率。

In this paper

we propose use naive bayesian

social networks and extract advertisers to tap the multi classifier fusion Anti-spam system

the system based on Hadoop platform

according to SMS content and user’s behavior to identify spam messages

then the classification accuracy will be improved greatly.

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