Research and Design of Customer Analysis System Based on Clustering Mining

扫码查看

原文链接

NETL

外文摘要：Company customer analysis system is designed and implemented based on clustering mining technology。 Customer preference segmentation model is built by using the K-medoids clustering method， the customer are divided into several groups effectively。 Through a combination of the decision tree and the logistic regression method， the customer loss early-warning model is constructed。 The practical results show that the designed system has an excellent performance。

外文关键词：

Customer analysis systemData warehouseData miningK-medoids clusteringBinary logistic regression

作者：

Xu Jinglei、Liu Xiyu

展开 >

作者单位：

Management Science and Engineering College, Shan Dong Normal University, Jinan, China

会议名称：

International conference on industrial design and mechanical power

会议地点：

Huangshan(CN)

会议母体文献：

Industrial design and mechanical power

页码：

193-198

出版时间：

2012