Multiple criteria optimization-based data mining methods and applications: a systematic survey
文献类型：期刊论文
| 作者 | Shi, Yong1,2 |
| 刊名 | Knowledge and information systems
 |
| 出版日期 | 2010-09-01 |
| 卷号 | 24期号:3页码:369-391 |
| 关键词 | Data mining Classification Multi-criteria programming Fuzzy programming Regression Credit scoring Bioinformatics Network intrusion detection Bankruptcy prediction |
| ISSN号 | 0219-1377 |
| DOI | 10.1007/s10115-009-0268-1 |
| 通讯作者 | Shi, yong(yshi@unomaha.edu) |
| 英文摘要 | Support vector machine, an optimization technique, is well known in the data mining community. in fact, many other optimization techniques have been effectively used in dealing with data separation and analysis. for the last 10 years, the author and his colleagues have proposed and extended a series of optimization-based classification models via multiple criteria linear programming (mclp) and multiple criteria quadratic programming (mcqp). these methods are different from statistics, decision tree induction, and neural networks. the purpose of this paper is to review the basic concepts and frameworks of these methods and promote the research interests in the data mining community. according to the evolution of multiple criteria programming, the paper starts with the bases of mclp. then, it further discusses penalized mclp, mcqp, multiple criteria fuzzy linear programming (mcflp), multi-class multiple criteria programming (mcmcp), and the kernel-based multiple criteria linear program, as well as mclp-based regression. this paper also outlines several applications of multiple criteria optimization-based data mining methods, such as credit card risk analysis, classification of hiv-1 mediated neuronal dendritic and synaptic damage, network intrusion detection, firm bankruptcy prediction, and vip e-mail behavior analysis. |
| WOS关键词 | CREDIT CARDHOLDER BEHAVIOR ; FINANCIAL RATIOS ; CLASSIFICATION ; SVM ; PREDICTION ; BANKRUPTCY ; MODELS |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Information Systems |
| 语种 | 英语 |
| WOS记录号 | WOS:000281791800003 |
| 出版者 | SPRINGER LONDON LTD |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2405422 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Shi, Yong |
| 作者单位 | 1.Univ Nebraska, Coll Informat Sci & Technol, Omaha, NE 68182 USA 2.Chinese Acad Sci, Res Ctr Fictitious Econ & Data Sci, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi, Yong. Multiple criteria optimization-based data mining methods and applications: a systematic survey[J]. Knowledge and information systems,2010,24(3):369-391. |
| APA | Shi, Yong.(2010).Multiple criteria optimization-based data mining methods and applications: a systematic survey.Knowledge and information systems,24(3),369-391. |
| MLA | Shi, Yong."Multiple criteria optimization-based data mining methods and applications: a systematic survey".Knowledge and information systems 24.3(2010):369-391. |
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来源：中国科学院大学
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