Customer Segmentation Analysis Based on SOM Clustering

摘要：

From the angle of customer value and customer behavior,this paper utilizes data mining methods to segment the clients in security industry.Clustering algorithm is a kind of customer segmentation methods commonly used in data mining.In this article,a two-stage integration of K-means clustering algorithm and SOM network is applied to segment customers and finally forms groups of clients with different features.Through analyzing different groups of customers,we try to position the target clients of the company properly.

关键词： SOM network K-means clustering Customer value analysis Customer behavior analysis

作者: Ying Li Feng Lin

作者单位: Business School of East China University of Science and TechnologyShanghai,China Business School of East China University of Science and Technology Shanghai,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Service Operations and Logistics, and Informatics(IEEE/SOLI’2008)(IEEE服务运作、物流与信息年会)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-12（万方平台首次上网日期，不代表论文的发表时间）