Developing an SVM-based ensemble learning system for customer risk identification collaborating with customer relationship management

doi:10.1007/s11704-010-0508-2

CSpace

	Developing an SVM-based ensemble learning system for customer risk identification collaborating with customer relationship management
	Yu, Lean 1,2; Wang, Shouyang 1; Lai, Kin Keung 3
	2010-06-01
发表期刊	FRONTIERS OF COMPUTER SCIENCE IN CHINA
ISSN	1673-7350
卷号	4 期号:2 页码:196-203
摘要	In this study, we propose a support vector machine (SVM)-based ensemble learning system for customer relationship management (CRM) to help enterprise managers effectively manage customer risks from the risk aversion perspective. This system differs from the classical CRM for retaining and targeting profitable customers; the main focus of the proposed SVM-based ensemble learning system is to identify high-risk customers in CRM for avoiding possible loss. To build an effective SVM-based ensemble learning system, the effects of ensemble members' diversity, ensemble member selection and different ensemble strategies on the performance of the proposed SVM-based ensemble learning system are each investigated in a practical CRM case. Through experimental analysis, we find that the Bayesian-based SVM ensemble learning system with diverse components and choose from space selection strategy show the best performance over various testing samples.
关键词	support vector machines (SVM) ensemble learning diversity strategy selection strategy ensemble strategy customer relationship management (CRM)
DOI	10.1007/s11704-010-0508-2
语种	英语
资助项目	National Natural Science Foundation of China[90924024] ; Chinese Academy of Sciences ; Hangzhou Key Laboratory of E-Business and Information Security, Hangzhou Normal University ; K. C. Wong Education Foundation, Hong Kong, China
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:000292504200006
出版者	HIGHER EDUCATION PRESS
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/10688
专题	中国科学院数学与系统科学研究院
通讯作者	Yu, Lean
作者单位	1.Chinese Acad Sci, Inst Syst Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 2.Hangzhou Normal Univ, Hangzhou Key Lab E Business & Informat Secur, Hangzhou 310036, Zhejiang, Peoples R China 3.City Univ Hong Kong, Dept Management Sci, Hong Kong, Hong Kong, Peoples R China
推荐引用方式 GB/T 7714	Yu, Lean,Wang, Shouyang,Lai, Kin Keung. Developing an SVM-based ensemble learning system for customer risk identification collaborating with customer relationship management[J]. FRONTIERS OF COMPUTER SCIENCE IN CHINA,2010,4(2):196-203.
APA	Yu, Lean,Wang, Shouyang,&Lai, Kin Keung.(2010).Developing an SVM-based ensemble learning system for customer risk identification collaborating with customer relationship management.FRONTIERS OF COMPUTER SCIENCE IN CHINA,4(2),196-203.
MLA	Yu, Lean,et al."Developing an SVM-based ensemble learning system for customer risk identification collaborating with customer relationship management".FRONTIERS OF COMPUTER SCIENCE IN CHINA 4.2(2010):196-203.