中国移动通信集团四川有限公司
Published:2015
移动端阅览
[1]王睿,谭卫.基于大数据挖掘分析的垃圾短信治理方案[J].电信工程技术与标准化,2015,28(02):78-82.
王睿, 谭卫. Management of spam SMS based on big data mining[J]. 2015, 28(2): 78-82.
[1]王睿,谭卫.基于大数据挖掘分析的垃圾短信治理方案[J].电信工程技术与标准化,2015,28(02):78-82. DOI: 10.13992/j.cnki.tetas.2015.02.022.
王睿, 谭卫. Management of spam SMS based on big data mining[J]. 2015, 28(2): 78-82. DOI: 10.13992/j.cnki.tetas.2015.02.022.
本文简要介绍了垃圾短信对社会带来的负面影响
分析了目前垃圾短信治理体系存在的不足
提出了基于大数据挖掘分析的垃圾短信治理方案:首先构建垃圾短信用户识别指标体系
通过引入随机森林模型
对垃圾短信用户进行识别和有效治理
最后运用平台对垃圾短信用户进行精细化管理。
This article briefl y describes the negative impact of spam messages on the community
and analyzes the shortcomings of current spam SMS management
proposed a new governance program based on big-data mining: fi rst
build user identifi cation system on spam messages
with random forest model
identifi cate the spam and implement effective governance
fi nally
by the use of the platform
we can manage the users of spam message more precise.
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