文献类型：期刊文献

英文题名：Application of clustering on credit card customer segmentation based on AHP

作者：Li, Ying[1]; Wu, Yuanyuan[1]

机构：[1] Business School, East China University of Science and Technology, Shanghai 200237, China

年份：2010

卷号：3

起止页码：1869

外文期刊名：2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM 2010

收录：EI(收录号：20102312981895)

语种：英文

外文关键词：Commerce - Sales - Clustering algorithms - Data mining

摘要：It has been crucial for credit card operators to conduct targeted marketing with effective customer segmentation recently years .The clustering analysis of data mining technology is the most effective tool for this, and the selection of indicators means a lot on the results of segmentation in the meanwhile. In this paper, we select two algorithms, AHP (Analytical Hierarchy Process) for indicator optimization, and K-means for clustering. Based on briefly theoretical analysis of the algorithms, we carry out a case study using the data of credit card customers from a commercial bank of Shanghai, and develop the corresponding marketing strategies, possessing certain theoretical value and practical significance. ?2010 IEEE.