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J4 ›› 2011, Vol. 46 ›› Issue (5): 77-81.

• SEWM 2011 会议 • 上一篇    下一篇

面向电信的客户流失预测模型研究

蒋盛益1,王连喜2   

  1. 1.广东外语外贸大学信息学院, 广东 广州 510420; 2.广东科贸职业学院, 广东 广州 510640
  • 收稿日期:2010-12-20 发布日期:2011-05-25
  • 作者简介:蒋盛益(1963- ),男,教授,硕士生导师,博士,主要研究方向为数据挖掘与自然语言处理. Email: jiangshengyi@163.com
  • 基金资助:

    国家自然科学基金资助项目(61070061);广东省自然科学基金资助项目(9151026005000002);广东省高层次人才项目

The study of customer churn prediction model for telecom

JIANG Sheng-yi1, WANG Lian-xi2   

  1. 1. School of Informatics, Guangdong University of Foreign Studies, Guangzhou 510420, Guangdong, China;
    2. Guangdong Vocational College of Science and Trade, Guangzhou 510640, Guangdong, China
  • Received:2010-12-20 Published:2011-05-25

摘要:

针对现有客户流失预测模型预测准确率低下的问题,本文结合基于统计学习的客户聚类分析和分类预测技术来构建客户流失预测模型。根据模型计算结果,可以辨别出客户类别及流失倾向,并在此基础上提出了预防客户流失的保持措施,从而为电信企业运营商的客户关系管理提供决策依据。

关键词: 客户流失;客户保持;电信;聚类;客户关系管理

Abstract:

The accuracies of existing customer churn prediction models are too low, so a new customer churn prediction model is established by combining the clustering analysis with the classification prediction technique based on statistical learning. According to the results of the model, it is able to distinguish the customers groups and the propensity tendency of different customer groups. And then some customer retention measures are proposed,which can help telecom enterprises to make decisions for customer relationship management.

Key words:  customer churn; customer retention; telecom; clustering; customer relationship management

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