Feb 19, 2010 · This paper first describes the fundamental connections between MCLP and data mining, including several general models of MCLP approaches. Given ...

This paper promotes a multiple criteria linear programming (MCLP) approach to data mining based on linear discriminant analysis. This paper first describes the ...

The purpose of this paper is to introduce the fundamentals of MCLP-data mining models and the interfaces between the algorithm designs and software development.

The purpose of this study is to propose a multiple criteria linear programming. (MCLP) approach to data mining for bankruptcy prediction. Data mining is a tool.

The purpose of this research is to propose a multiple criteria linear programming (MCLP) approach to data mining for bankruptcy prediction. A multiple criteria ...

Bibliographic details on Multiple criteria linear programming approach to data mining: Models, algorithm designs and software development.

Multiple criteria linear programming approach to data mining: Models, algorithm designs and software development ; ISSN/ISBN: 1055-6788 ; 2003 · 10.1080/ ...

This paper puts forward a rough set-based multiple criteria linear programming (RS-MCLP) approach for solving classification problems in data mining. Firstly, ...

Multiple criteria linear programming approach to data mining: Models, algorithm designs and software development ... Optim. Methods Softw. 2003. TLDR.

The purpose of this research is to propose a multiple criteria linear programming (MCLP) approach to data mining for bankruptcy prediction. A multiple criteria ...