KMS Of Academy of mathematics and systems sciences, CAS
| Developing an SVM-based ensemble learning system for customer risk identification collaborating with customer relationship management | |
| Yu, Lean1,2; Wang, Shouyang1; Lai, Kin Keung3 | |
| 2010-06-01 | |
| Source Publication | FRONTIERS OF COMPUTER SCIENCE IN CHINA
 |
| ISSN | 1673-7350 |
| Volume | 4Issue:2Pages:196-203 |
| Abstract | 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. |
| Keyword | support vector machines (SVM) ensemble learning diversity strategy selection strategy ensemble strategy customer relationship management (CRM) |
| DOI | 10.1007/s11704-010-0508-2 |
| Language | 英语 |
| Funding Project | 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 Research Area | Computer Science |
| WOS Subject | Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods |
| WOS ID | WOS:000292504200006 |
| Publisher | HIGHER EDUCATION PRESS |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/10688 |
| Collection | 中国科学院数学与系统科学研究院 |
| Corresponding Author | Yu, Lean |
| Affiliation | 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 |
| Recommended Citation 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. |
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