基于贝叶斯网络的客户流失分析模型

2013 Ninth International Conference on Computational Intelligence and Security Pub Date : 2013-12-14 DOI:10.1109/CIS.2013.63

Peng Sun, Xin Guo, Yunpeng Zhang, Zi-yan Wu

{"title":"基于贝叶斯网络的客户流失分析模型","authors":"Peng Sun, Xin Guo, Yunpeng Zhang, Zi-yan Wu","doi":"10.1109/CIS.2013.63","DOIUrl":null,"url":null,"abstract":"A customer churn analytical model based Bayesian network is built for prediction of customer churn. We propose Bayesian Network approaches to predict churn motivation, mining the result in churn characters in order to help decision-making manager formulate corresponding detainment strategy. Experimental results show that classification performance of both methods is resultful.","PeriodicalId":294223,"journal":{"name":"2013 Ninth International Conference on Computational Intelligence and Security","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Analytical Model of Customer Churn Based on Bayesian Network\",\"authors\":\"Peng Sun, Xin Guo, Yunpeng Zhang, Zi-yan Wu\",\"doi\":\"10.1109/CIS.2013.63\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A customer churn analytical model based Bayesian network is built for prediction of customer churn. We propose Bayesian Network approaches to predict churn motivation, mining the result in churn characters in order to help decision-making manager formulate corresponding detainment strategy. Experimental results show that classification performance of both methods is resultful.\",\"PeriodicalId\":294223,\"journal\":{\"name\":\"2013 Ninth International Conference on Computational Intelligence and Security\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Ninth International Conference on Computational Intelligence and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIS.2013.63\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Ninth International Conference on Computational Intelligence and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS.2013.63","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

建立了基于贝叶斯网络的客户流失分析模型，用于客户流失预测。我们提出了贝叶斯网络方法来预测流失动机，挖掘流失特征的结果，以帮助决策管理者制定相应的留住策略。实验结果表明，两种方法的分类效果良好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Analytical Model of Customer Churn Based on Bayesian Network

A customer churn analytical model based Bayesian network is built for prediction of customer churn. We propose Bayesian Network approaches to predict churn motivation, mining the result in churn characters in order to help decision-making manager formulate corresponding detainment strategy. Experimental results show that classification performance of both methods is resultful.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2013 Ninth International Conference on Computational Intelligence and Security

自引率

0.00%

发文量