中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Developing an SVM-based ensemble learning system for customer risk identification collaborating with customer relationship management

文献类型:期刊论文

作者Yu, Lean1,2; Wang, Shouyang1; Lai, Kin Keung3
刊名FRONTIERS OF COMPUTER SCIENCE IN CHINA
出版日期2010-06-01
卷号4期号:2页码:196-203
关键词support vector machines (SVM) ensemble learning diversity strategy selection strategy ensemble strategy customer relationship management (CRM)
ISSN号1673-7350
DOI10.1007/s11704-010-0508-2
英文摘要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.
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
语种英语
WOS记录号WOS:000292504200006
出版者HIGHER EDUCATION PRESS
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/10687]  
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.

入库方式: OAI收割

来源:数学与系统科学研究院

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