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基于数据挖掘的固网大客户流失组合预警 被引量:4

Combined Early Warning of Major Customer Lose in Wireline Telecom Based on Data Mining
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摘要 应用C5.0决策树算法、CART决策树算法、RBF神经网络建立某固网运营商客户的收入流失预警模型,然后运用GMDH方法建立了客户的收入流失组合预警模型。研究表明:模型提高了预警的准确率和覆盖率,模型能够帮助运营商找出收入有可能流失的客户,使其能对这些客户开展提前、有效的挽回营销工作,最大程度减少客户流失。 This paper uses the C5.0,CART and RBF neural network to establish early warning model of wireline telecom customer lose respectively;and then uses GMDH algorithm to make a combined prediction model.Model improves the accuracy and coverage of early warning.It can help operators find the customers who will defect in advance,and implement earlier and more effective marketing measures to reduce the customer lose.
出处 《软科学》 CSSCI 北大核心 2012年第1期128-131,共4页 Soft Science
基金 国家自然科学基金资助项目(70771067)
关键词 数据挖掘 客户流失 组合预警 data mining customer lose combined early warning
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  • 1叶进,林士敏.基于贝叶斯网络的推理在移动客户流失分析中的应用[J].计算机应用,2005,25(3):673-675. 被引量:12
  • 2叶进,张向利,张润莲.基于数据挖掘的移动客户流失分析系统[J].计算机系统应用,2005,14(2):61-64. 被引量:3
  • 3郭明,郑惠莉,卢毓伟.基于贝叶斯网络的客户流失分析[J].南京邮电学院学报(自然科学版),2005,25(5):79-83. 被引量:14
  • 4美国SAS软件研究所.SAS产品白皮书.www.sas.com.,.
  • 5Zavgren, C.V.A logistic Analysis of the Relationship Between Vulnerability to Failure and Certain Financial Variable for American Industrial Firms [ D] .Working paperno. 796, Krannert Graduate School of Management, Prudue University, 1982.
  • 6Altman E I. Edward. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy[J ]. The Journal of Finance, 1968,23: 589 - 609.
  • 7John C. Hull, Option, futures and other derivatives 3rd [M]. Prentice - Hall International, Inc. 1997:232 - 235.
  • 8Scott. J. The Probability of Bankruptcy:A Comparison of Empirical Predictions and Theoretical Model[J ]. Journal of Banking and Finance, 1981,5:317 - 344.
  • 9Black. F and M. Scholes. The Pricing of Options and Corporate Liabilities[J] .Journal of Political Economy, 1973(5- 6) :637 - 654.
  • 10Eisenbeis R A.Pitfalls in the application discriminant analysis in business and economics[J]. The Journal of Finance,1997,32: 875 - 900.

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