[1]余路.电信客户流失的组合预测模型[J].华侨大学学报(自然科学版),2016,37(5):637-640.[doi:10.11830/ISSN.1000-5013.201605022]
　YU Lu.Combination Forecasting Model of Customer Churns in Telecom Industry[J].Journal of Huaqiao University(Natural Science),2016,37(5):637-640.[doi:10.11830/ISSN.1000-5013.201605022]
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电信客户流失的组合预测模型()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第37卷
期数:
2016年第5期
页码:
637-640
栏目:
出版日期:
2016-09-20

文章信息/Info

Title:
Combination Forecasting Model of Customer Churns in Telecom Industry
文章编号:
1000-5013(2016)05-0637-04
作者:
余路1; 2
1. 西南大学 计算机与信息科技学院, 重庆 北碚 400715; 2. 重庆涪陵广播电视大学 教务处, 重庆 涪陵 408000
Author(s):
YU Lu1; 2
1. School of Computer and Information Science, Southwestern University, Chongqing 400715, China; 2. Teaching Affair Office, Chongqing Fuling Radio and television University, Chongqing 408000, China
关键词:
客户流失;  预测模型;  电信企业;  决策树C5.0;  BP神经网络;  Logistic回归算法
Keywords:
customer churn;  forecasting model;  telecom industry;  decision tree C5.0;  back-propagation neural network;  logistic regression algorithm
分类号:
TP311.5
DOI:
10.11830/ISSN.1000-5013.201605022
文献标志码:
A
摘要:
针对电信行业客户流失的问题,设计基于决策树C5.0、BP神经网络及 Logistic 回归算法的组合预测模型,并对某电信企业进行客户流失预测.预测结果表明:与单一客户流失预测模型相比,组合预测模型命中准确率高,预测效果好,更能直观地显示出流失客户的基本特征.
Abstract:
According to telecommunication customer churn problem, the forecasting model based on decision tree C5.0, BP(back-propagation)neural network and logistic regression algorithm combination is designed, and according to orecasting of the customer churns in some telecom companies, the accuracy is higher and prediction effect is good in combination forecasting model compared to a single customer churn prediction model. It shows the basic features of the customer churn more directly.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2016-06-20
通信作者: 余路(1972-),男,讲师,博士,主要从事计算机数据库技术的研究.E-mail:flddyl@126.com.
基金项目: 重庆市自然科学技术研究项目(KJ131302)
更新日期/Last Update: 2016-09-20