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Indexed by:会议论文

Date of Publication:2012-01-01

Included Journals:CPCI-S

Volume:19

Page Number:120-123

Key Words:data mining; CRM; clustering analysis

Abstract:The application of data mining in CRM (Customer Relationship Management) is more and more important, because it is one of the important ways to help enterprises to speed up information management and improve their market competitiveness. In this paper, we divide the clustering process into two phases: division and mergence. And use the combined division clustering and hierarchical clustering techniques to complete the customer classification. At the same time, a new adjustment method for the cluster center in the first stage is proposed to enhance the customer classification accuracy.