基于数据挖掘技术的核心客户的识别  

The Key Customer's Identification Based on Data Mining Technic

作　　者：陈智勤[1] 黄剑辉[2] 

机构地区：[1]福建师范大学数学与计算机科学学院,福建福州350007 [2]福州大学管理学院,福建福州350002

出　　处：《福建师范大学学报（自然科学版）》2007年第4期56-60,共5页Journal of Fujian Normal University：Natural Science Edition

摘　　要：在RFM模型的基础上,根据具体行业的特点,提出了客户重要度测量模型,并且利用数据挖掘技术——决策树算法进行核心客户的特征提取,最后就某一企业的实际情况进行实证研究,为企业进行一对一营销或客户服务提供支持.The key customer is who is the most in favor of the company's profit,it is very important to the company's survivorship and development.This paper is based on the RFM model,has put forward the numeration model of the customer importance degree according to the idiographic industry's characteristic.It also makes use of the data mining technology,like as the algorithm of decision-tree,which can help to distill the key customer's character.Finally,it take a practice to demonstrate its validity,then provides fo...

关 键 词：数据挖掘 核心客户 客户重要度 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]