基于贝叶斯分类算法的客户流失分析模型研究  

Bayesian classification algorithm based on the analysis of the loss of customers Model

作　　者：郭凯明 

机构地区：[1]太原理工大学计算机与软件学院

出　　处：《电脑知识与技术》2008年第12Z期2251-2252,2255,共3页Computer Knowledge and Technology

摘　　要：客户关系管理以客户为中心,通过再造企业组织体系和优化业务流程,展开系统的客户研究,最大程度地改善、提高了整个客户关系生命周期的绩效,从而提高客户的满意度和忠诚度,提高运营效率和利润收益。该文研究和探讨了客户关系管理系统开发的技术环节及实现过程,并对基于贝叶斯分类算法的客户流失分析模型的建立进行了分析。Customer Relation Management takes the customers as the center, it gives a new life to the enterprise organization system and optimizes the business process, then launches a general research of the customers, and in order to raise the results of the whole customer life cycle, thus raises the customers' satisfaction and company's profit. This paper mainly focused on the discussion and the research of the basic technique concerned with data mining,And Bayesian classification algorithm based on the analysis of the loss of customer model are analyzed.

关 键 词：贝叶斯分类算法 数据挖掘 客户关系管理 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] C931.2[自动化与计算机技术—控制科学与工程]