| 数据挖掘及其在电信客户流失中的应用 |
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| 引用本文： | 钟庆琪.数据挖掘及其在电信客户流失中的应用[J].东莞理工学院学报,2008,15(1):77-81. |
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| 作者姓名： | 钟庆琪 |
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| 作者单位： | 东莞理工学院软件学院,广东东莞,523808 |
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| 摘 要： | 以某电信公司的历史数据为对象，运用数据挖掘技术，建立了基于决策树、神经网络和Logistic回归的三种客户流失预测模型.并对高价值高流失概率的客户进行K-means聚类分析，得到具有不同使用特征的五群客户，为对不同的流失客户群体提供针对性的营销策略提供了依据.
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| 关 键 词： | 客户流失 数据挖掘 LOGISTIC回归 神经网络 决策树 |
| 文章编号： | 1009-0312（2008）01-0077-05 |
| 收稿时间： | 2007-12-13 |
| 修稿时间： | 2007年12月13 |
Application of Data Mining in Analysis of Customer Churn in Telecom Industry |
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| ZHONG Qing-qi.Application of Data Mining in Analysis of Customer Churn in Telecom Industry[J].Journal of Dongguan Institute of Technology,2008,15(1):77-81. |
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| Authors: | ZHONG Qing-qi |
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| Institution: | ZHONG Qing-qi (Software College,Dongguan University of Technology,Dongguan 523808,China) |
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| Abstract: | This paper uses data mining technique to analyze chum problems according to the historical data of a telecom corporation. By building different chum models based on decision tree, neural network and logistic regression, this paper is able to predict the potential customers. Finally, cluster models are adopted to deal with different customer's groups in marketing, using k-means algorithm for customers who have high value and high churn probability according to their behaviors. |
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| Keywords: | customer churn data mining logistic regression neural net decision tree |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
