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An evolutionary algorithm to discover quantitative association rules in multidimensional time series

 

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Opened Access An evolutionary algorithm to discover quantitative association rules in multidimensional time series
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Author: Martínez Ballesteros, María del Mar
Martínez Álvarez, Francisco
Troncoso Lora, Alicia
Riquelme Santos, José Cristóbal
Department: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Date: 2011
Published in: Soft Computing, 15 (10), 2065-2084.
Document type: Article
Abstract: An evolutionary approach for finding existing relationships among several variables of a multidimensional time series is presented in this work. The proposed model to discover these relationships is based on quantitative association rules. This ...
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Cite: Martínez Ballesteros, M.d.M., Martínez Álvarez, F., Troncoso Lora, A. y Riquelme Santos, J.C. (2011). An evolutionary algorithm to discover quantitative association rules in multidimensional time series. Soft Computing, 15 (10), 2065-2084.
Size: 2.097Mb
Format: PDF

URI: http://hdl.handle.net/11441/43390

DOI: 10.1007/s00500-011-0705-4

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