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Improving a multi-objective evolutionary algorithm to discover quantitative association rules

 

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Author: Martínez Ballesteros, María del Mar
Troncoso Lora, Alicia
Martínez Álvarez, Francisco
Riquelme Santos, José Cristóbal
Department: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Date: 2015
Published in:  Knowledge and Information Systems, Diciembre 2015
Document type: Article
Abstract: This work aims at correcting flaws existing in multi-objective evolutionary schemes to discover quantitative association rules, specifically those based on the wellknown non-dominated sorting genetic algorithm-II (NSGA-II). In particular, a metho...
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Cite: Martínez Ballesteros, M.d.M., Troncoso Lora, A., Martínez Álvarez, F. y Riquelme Santos, J.C. (2015). Improving a multi-objective evolutionary algorithm to discover quantitative association rules.  Knowledge and Information Systems, Diciembre 2015
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Format: PDF

URI: http://hdl.handle.net/11441/43660

DOI: http://dx.doi.org/10.1007/s10115-015-0911-y

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