A family of optimization based data mining methods

Authors:
Yong Shi;Rong Liu;Nian Yan;Zhenxing Chen
Affiliations:
Research Center on Fictitious Economy and Data Sciences, Chinese Academy of Sciences, Beijing, China and College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE;Research Center on Fictitious Economy and Data Sciences, Chinese Academy of Sciences, Beijing, China and School of Mathematical Science, Graduate University of Chinese Academy of Sciences, Beijing ...;College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE;College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE
Venue:
APWeb'08 Proceedings of the 10th Asia-Pacific web conference on Progress in WWW research and development
Year:
2008

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Abstract

An extensive review for the family of multi-criteria programming data mining models is provided in this paper. These models are introduced in a systematic way according to the evolution of the multi-criteria programming. Successful applications of these methods to real world problems are also included in detail. This survey paper can serve as an introduction and reference repertory of multi-criteria programming methods helping researchers in data mining.