摘要
客户关系管理和数据挖掘都是近几年发展起来的新兴学科,对现代企业的发展有着举足轻重的作用。聚类是数据挖掘中的典型算法,其中的K-均值算法是最基本的算法,由该算法产生了许多经典而高效的算法。文章对数据挖掘成果进行了归纳,深入研究了K-均值算法,并将其运用在客户关系管理的客户分类中,这对研究数据挖掘中的其他算法是很有利的。
The customer relationship management and the data mining are all emerging in recent years, which have the pivotal function to the modem enterprise＇s development. Clustering algorithms are the typical algorithms in the data mining, the K-means algorithm is the most basic algorithm, which has produced many classics and highly effective algorithms. The article summarizes the achievements of data mining, studies the K-means algorithm thoroughly and applies it in the customer relationship management of the customer classification, which is also beneficial to studying other algorithms.
出处
《企业技术开发》
2008年第1期9-11,共3页
Technological Development of Enterprise
关键词
客户关系管理
聚类算法
数据挖掘
K-均值算法
customer relationship management
clustering algorithm
data mining
K-means
