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Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

Postal Subscription Code 80-970

2018 Impact Factor: 1.129

Front Comput Sci Chin    2009, Vol. 3 Issue (2) : 192-204    https://doi.org/10.1007/s11704-009-0026-2
REVIEW ARTICLE
A class of classification and regression methods by multiobjective programming
Dongling ZHANG1,3,4(), Yong SHI1,2,4(), Yingjie TIAN1(), Meihong ZHU1,4,5()
1. Research Center on Fictitious Economy and Data Sciences, Chinese Academy of Sciences, Beijing 100080, China; 2. College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68132, USA; 3. School of Computer Science, University of Science and Technology, Beijing 100083, China; 4. Management School, Graduate University of Chinese Academy of Sciences, Beijing 100080, China; 5. School of Statistics, Capital University of Economics and Business, Beijing 100070, China
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Abstract

An extensive review for the recent developments of multiple criteria linear programming data mining models is provided in this paper. These researches, which include classification and regression methods, are introduced in a systematic way. Some applications of these methods to real-world problems are also involved in this paper. This paper is a summary and reference of multiple criteria linear programming methods that might be helpful for researchers and applications in data mining.

Keywords multiple criteria linear programming      data mining      classification      regression     
Corresponding Author(s): ZHANG Dongling,Email:zhangdl365@sina.com; SHI Yong,Email:yshi@gucas.ac.cn, yshi@unomaha.edu; TIAN Yingjie,Email:tianyingjie1213@163.com; ZHU Meihong,Email:zhumh@mails.gucas.ac.cn   
Issue Date: 05 June 2009
 Cite this article:   
Dongling ZHANG,Yong SHI,Yingjie TIAN, et al. A class of classification and regression methods by multiobjective programming[J]. Front Comput Sci Chin, 2009, 3(2): 192-204.
 URL:  
https://academic.hep.com.cn/fcs/EN/10.1007/s11704-009-0026-2
https://academic.hep.com.cn/fcs/EN/Y2009/V3/I2/192
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