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A Data Mining Approach to Customer Segment Based on Customer Value
Chen, Yun; Fu, Chuan; Zhu, Hanhong
2008
DOI10.1109/FSKD.2008.548
页码513-517
英文摘要Customer segmentation is the basic issue for an effective CRM, and the methods and indicators of segmentation will impact on the results of applications. Many literatures have researched the application of data mining technology in customer segmentation, and achieved sound effectives. But most of them only segment customer by single data mining technology from a special view, rather than from systematical framework. Although previous segment methods may segment customer base into different groups it is unable to identify customer's capability to create profit directly. In this paper, a customer segmentation framework based on data mining is put forward, and a new customer segmentation method is constituted based on Customer Lifetime Value. The method introduced above has been applied to a dataset from a Frequent Flyer Program (FFP) of an airline in China.
会议录出版者IEEE COMPUTER SOC
会议录出版地10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
语种英语
WOS研究方向Computer Science ; Engineering ; Imaging Science & Photographic Technology
WOS记录号WOS:000264270100094
内容类型会议论文
源URL[http://10.2.47.112/handle/2XS4QKH4/3210]  
专题上海财经大学
作者单位Shanghai Univ Finance & Econ, Shanghai 200433, Peoples R China
推荐引用方式
GB/T 7714
Chen, Yun,Fu, Chuan,Zhu, Hanhong. A Data Mining Approach to Customer Segment Based on Customer Value[C]. 见:.
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