文献类型：会议论文

英文题名：Customer Segmentation Analysis Based on SOM Clustering

作者：Li, Ying[1];Lin, Feng[1]

机构：[1]E China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China

会议论文集：IEEE International Conference on Service Operations and Logistics and Informatics

会议日期：OCT 12-15, 2008

会议地点：Beijing Jiaoton Univ, Beijing, PEOPLES R CHINA

主办单位：Beijing Jiaoton Univ

语种：英文

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

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.