Domain-driven classification based on multiple criteria and multiple constraint-level programming for intelligent credit scoring
文献类型:期刊论文
作者 | He, Jing1,2; Zhang, Yanchun1; Shi, Yong2; Huang, Guangyan1 |
刊名 | Ieee transactions on knowledge and data engineering
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出版日期 | 2010-06-01 |
卷号 | 22期号:6页码:826-838 |
关键词 | Credit scoring Domain-driven classification Mathematical programming Multiple criteria and multiple constraint-level programming Fuzzy programming Satisfying solution |
ISSN号 | 1041-4347 |
DOI | 10.1109/tkde.2010.43 |
通讯作者 | He, jing(jing.he@vu.edu.au) |
英文摘要 | Extracting knowledge from the transaction records and the personal data of credit card holders has great profit potential for the banking industry. the challenge is to detect/predict bankrupts and to keep and recruit the profitable customers. however, grouping and targeting credit card customers by traditional data-driven mining often does not directly meet the needs of the banking industry, because data-driven mining automatically generates classification outputs that are imprecise, meaningless, and beyond users' control. in this paper, we provide a novel domain-driven classification method that takes advantage of multiple criteria and multiple constraint-level programming for intelligent credit scoring. the method involves credit scoring to produce a set of customers' scores that allows the classification results actionable and controllable by human interaction during the scoring process. domain knowledge and experts' experience parameters are built into the criteria and constraint functions of mathematical programming and the human and machine conversation is employed to generate an efficient and precise solution. experiments based on various data sets validated the effectiveness and efficiency of the proposed methods. |
WOS关键词 | MODELS ; RISK |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic |
语种 | 英语 |
WOS记录号 | WOS:000276801300007 |
出版者 | IEEE COMPUTER SOC |
URI标识 | http://www.irgrid.ac.cn/handle/1471x/2407626 |
专题 | 中国科学院大学 |
通讯作者 | He, Jing |
作者单位 | 1.Victoria Univ, Sch Sci & Engn, Melbourne, Vic, Australia 2.Chinese Acad Sci, Res Ctr Fictitious Econ & Data Sci, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | He, Jing,Zhang, Yanchun,Shi, Yong,et al. Domain-driven classification based on multiple criteria and multiple constraint-level programming for intelligent credit scoring[J]. Ieee transactions on knowledge and data engineering,2010,22(6):826-838. |
APA | He, Jing,Zhang, Yanchun,Shi, Yong,&Huang, Guangyan.(2010).Domain-driven classification based on multiple criteria and multiple constraint-level programming for intelligent credit scoring.Ieee transactions on knowledge and data engineering,22(6),826-838. |
MLA | He, Jing,et al."Domain-driven classification based on multiple criteria and multiple constraint-level programming for intelligent credit scoring".Ieee transactions on knowledge and data engineering 22.6(2010):826-838. |
入库方式: iSwitch采集
来源:中国科学院大学
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