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Received:March 20, 2012 Revised:May 01, 2012
Received:March 20, 2012 Revised:May 01, 2012
中文摘要: 由于电信市场竞争日益激烈, 为了保持客户, 防止客户流失, 提升企业的竞争力, 利用DBSCAN 算法对流失客户群数据进行划分, 分析客户流失原因, 结合决策树ID3 算法进行客户流失预测, 实验结果表明, 两种算法的结合, 使得客户流失预测准确率得到较大提高.
Abstract:Due to an increasingly competitive telecommunications market, in order to keep customers, to prevent the loss of customers, enhance the competitiveness of enterprises, this paper uses DBSCAN algorithm to the loss of customers data types, analysis of customer loss, combined with the decision tree ID3algorithm in customer churn prediction, experimental results show that, two kinds of algorithm combined, makes the customer churn prediction accuracy obtained improved.
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基金项目:湖南省教育厅科学研究项目(11C0724,11C0723)
引用文本：
左国才,周荣华,符开耀.分类算法及其在电信客户保持的应用.计算机系统应用,2012,21(10):152-154,203
ZUO Guo-Cai,ZHOU Rong-Hua,FU Kai-Yao.Classification Algorithm and Its Application in Telecom Customer Retention.COMPUTER SYSTEMS APPLICATIONS,2012,21(10):152-154,203
左国才,周荣华,符开耀.分类算法及其在电信客户保持的应用.计算机系统应用,2012,21(10):152-154,203
ZUO Guo-Cai,ZHOU Rong-Hua,FU Kai-Yao.Classification Algorithm and Its Application in Telecom Customer Retention.COMPUTER SYSTEMS APPLICATIONS,2012,21(10):152-154,203
