| 贝叶斯构造网络算法在电信CRM中的应用 |
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| 引用本文： | 田辽,张克平,覃征.贝叶斯构造网络算法在电信CRM中的应用[J].现代电子技术,2005,28(10):52-54,57. |
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| 作者姓名： | 田辽 张克平 覃征 |
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| 作者单位： | 1. 西安交通大学,电信学院,陕西,西安,710049
2. 西安交通大学,计算机系统结构与网络研究所,陕西,西安,710049 |
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| 摘 要： | 客户流失是各大运营商面临的一个挑战，随着市场的逐渐饱和，减少客户流失成为企业战略发展的一个重要组成部分。数据挖掘技术的核心功能在于通过历史数据预测未来的发展趋势，数据挖掘技术的使用可以在客户流失前及时给营销人员预警，使营销人员可以及时的挽留客户，从而降低客户流失率。本文通过对客户流失的业务需求和数据挖掘技术的介绍，提出了一种客户流失预测分析的解决方案。
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| 关 键 词： | CRM 数据挖掘 客户流失 业务需求 |
| 文章编号： | 1004-373X(2005)10-052-03 |
Application of A Bayesian Network-learning Algorithm in Telecom CRM |
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| TIAN Liao,ZHANG Keping,QIN Zhen.Application of A Bayesian Network-learning Algorithm in Telecom CRM[J].Modern Electronic Technique,2005,28(10):52-54,57. |
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| Authors: | TIAN Liao ZHANG Keping QIN Zhen |
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| Institution: | TIAN Liao 1,ZHANG Keping 2,QIN Zhen 3 |
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| Abstract: | Customer missing is a challenge to every communication company.With the gradually satuation of its market,decreasing customer missing becomes an important part of enterprise strategic development.The core of data mining is that it can predict the future develop trend by history data,so the appliaction of data mining can give alert to the staff before customer missing.This paper gives a schema of the forecasting analysis of customer missing by explaining the business requirement of customer missing and the technical of data mining. |
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| Keywords: | CRM data mining customer missing business requirement |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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