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	Customer segmentation based on survival character
	Chen, Yun; Zhang, Guozheng; Hu, Dengfeng; Fu, Chuan
	2007-08
关键词	customer segmentation survival character data mining survival analysis
卷号	18
期号	4
DOI	10.1007/s10845-007-0059-z
页码	513-517
英文摘要	Customer Segmentation is an increasingly pressing issue in today's over-competitive commercial area. More and more literatures have researched the application of data mining technology in customer segmentation, and achieved sound effectives. But most of them segment customer only by single data mining technology from a special view, rather than from systematical framework. Furthermore, one of the key purposes of customer segmentation is customer retention. Although previous segment methods may identify which group needs more care, it is unable to identify customer churn trend for taking different actions. This paper focus on proposing a customer segmentation framework based on data mining and constructs a new customer segmentation method based on survival character. The new customer segmentation method consists of two steps. Firstly, with K-means clustering arithmetic, customers are clustered into different segments in which customers have the similar survival characters (churn trend). Secondly, each cluster's survival/hazard function is predicted by survival analyzing, the validity of clustering is tested and customer churn trend is identified. The method mentioned above has been applied to a dataset from China Telecom, which acquired some useful management measures and suggestions. Some propositions for further research is also suggested.
会议录出版者	SPRINGER
会议录出版地	VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS记录号	WOS:000248623900010
内容类型	会议论文
源URL	[http://10.2.47.112/handle/2XS4QKH4/3477]
专题	上海财经大学
作者单位	Shanghai Univ Finance & Econ, Sch Publ Econ & Adm, Shanghai 200433, Peoples R China
推荐引用方式 GB/T 7714	Chen, Yun,Zhang, Guozheng,Hu, Dengfeng,et al. Customer segmentation based on survival character[C]. 见:.

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