Study on predictive model of customer churn in a mobile telecommunication company

被引：0

作者：

Li Bao-sheng ^{[1
]}

Lu Wei-ying ^{[1
]}

Lv Ting-jie ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Econ & Management Sch, Beijing 100876, Peoples R China

来源：

Proceedings of 2006 Chinese Control and Decision Conference | 2006年

关键词：

churn management; data mining; predictive model;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

It analyzes the meaning of churn management for a mobile telecommunication company and key influencing factors, discusses the relational algorithms about data mining, and puts forward the details of dealing with the churn management of mobile telecommunication company through data mining method.. It describes the entire process of making a predictive model to solve a churn management problem through analyzing an example. Based on SAS Enterprise Miner the model is sets up in order to provide the predictive churn data, lower the rates of churns, and establish the decision basement of putting the precise management in practice.

引用

页码：910 / +

页数：4