Research and Application of Improved Bayes Algorithm for the Telecommunication Customer Churn

Yang Ting; Teng Shao-hua

doi:10.3969/j.issn.1007-7162.2015.03.013

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Research and Application of Improved Bayes Algorithm for the Telecommunication Customer Churn

更新时间：2026-05-27

- Research and Application of Improved Bayes Algorithm for the Telecommunication Customer Churn
- Vol. 32, Issue 3, Pages: 67-72(2015)
- 作者机构：
- 作者简介：
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- DOI：10.3969/j.issn.1007-7162.2015.03.013
  CLC：
- Online First：22 September 2015，
  
  Published：2015
- 稿件说明：
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杨婷, 滕少华. 改进的贝叶斯分类方法在电信客户流失中的研究与应用[J]. 广东工业大学学报, 2015, 32(3): 67-72.

Yang Ting, Teng Shao-hua. Research and Application of Improved Bayes Algorithm for the Telecommunication Customer Churn[J]. 2015, 32(3): 67-72.
杨婷, 滕少华. 改进的贝叶斯分类方法在电信客户流失中的研究与应用[J]. 广东工业大学学报, 2015, 32(3): 67-72. DOI： 10.3969/j.issn.1007-7162.2015.03.013.

Yang Ting, Teng Shao-hua. Research and Application of Improved Bayes Algorithm for the Telecommunication Customer Churn[J]. 2015, 32(3): 67-72. DOI： 10.3969/j.issn.1007-7162.2015.03.013.

摘要

随着电信市场竞争日益加剧，客户流失成为运营商关注的焦点问题之一.针对电信数据量庞大且有时间序列的特点，提出一种改进的贝叶斯分类方法来研究电信客户流失问题，通过对不同属性加权改进了朴素贝叶斯分类器默认每个属性对分类结果影响相同的假设，进一步探讨了应用增量学习方法来应对不断增加的数据，以改善分类器的准确率.实验结果表明，本文的方法有较高的准确率.

Abstract

With the increasing competition of telecom market

customer churn became one of the focused problems. Because the telecommunication data is huge and has the characteristic of time series

this paper proposes an improved Bayesian classification to study the customer churn problem. The improved Bayesian classification model is designed to make up for the shortcomings of the former Bayes which assumed that each attribute has the same effect on the classification results. Furthermore

by coping with the increasing data

this paper explores the incremental learning method to improve the accuracy of the classifier. The experimental results show that the proposed method has higher accuracy.

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