The Study and Realization of Customer-churn Model Based on Date Mining in Telcom

被引：1

作者：

Jia, Yubo ^{[1
]}

Zhang, Qian ^{[1
]}

Ding, Qianqian ^{[1
]}

Liu, Danli ^{[1
]}

机构：

[1] Zhejiang Sci Tech Univ, Sch Informat Sci & Technol, Hangzhou 310018, Peoples R China

来源：

INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS II, PTS 1-3 | 2013年 / 336-338卷

关键词：

Customer churn; Customer subdivision; Combination model; Prediction model;

D O I：

10.4028/www.scientific.net/AMM.336-338.2229

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Customer frequent churn is a serious problem in telecom. In the three major telecom operators, the competition is quite fierce. Owing to lack of a high-efficient prediction model,the existing means effect is far from enterprise target. This paper proposes a combination model CPM based on constraint model, prediction model and mark model responsible for different job. Customer subdivision is vital for pertinent service further to reduce the rate of latent customers run off.

引用

页码：2229 / 2232

页数：4

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