数据挖掘技术在CRM中的应用研究  

Study of the Application of Data-Excavation Technique in CRM

作　　者：杨丽[1] 马玉磊[2] 张丹[1] 

机构地区：[1]河北工程大学信息与电气工程学院,河北邯郸056038 [2]新乡学院计算机与信息工程系,河南新乡453003

出　　处：《新乡学院学报》2009年第3期66-67,共2页Journal of Xinxiang University

摘　　要：顾客对电子商务网站访问的行为会产生大量的信息,可运用数据挖掘技术研究客户关系分类管理,从而实现从大量、不确定的客户信息中挖掘出客户分类的依据和信息,为企业提供重要决策支持。通过讨论客户关系管理理论和数据挖掘技术的算法及分析方法,研究并提供了数据挖掘技术在电子商务客户关系管理中的应用方法。Customers＇ visits of electronic business websites can produce a large amount of information, so we can excavate the basis and information of customer classification from among massive uncertain customer information and provide important support for enterprises to make decisions by applying data-excavation technique to the study of customer relationship classification management. This thesis is intended to probe into the algorithm and analysis method of customer relationship management theory and data-excavation technique and offer approaches of applying data-excavation technique to customer classification management in electronic business.

关 键 词：电子商务 CRM 输据挖掘 客户分类 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]