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Mostrando ítems 1-7 de 7
Artículo
Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets
(iOS Press, 2015)
Association rule mining is a well-known methodology to discover significant and apparently hidden relations among attributes in a subspace of instances from datasets. Genetic algorithms have been extensively used to find ...
Ponencia
Triclustering on TemporaryMicroarray Data using the TriGen Algorithm
(IEEE, 2011)
The analysis of microarray data is a computational challenge due to the characteristics of these data. Clustering techniques are widely applied to create groups of genes that exhibit a similar behavior under the ...
Artículo
Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production
(Elsevier, 2008)
This paper presents an evolutionary technique applied to the optimal short-term scheduling (24 h) of the electric energy production. The equations that define the problem lead to a non-convex non-linear programming problem ...
Capítulo de Libro
Decision Queue Classifier for Supervised Learning Using Rotated Hyperboxes
(1998)
This article describes a new system for learning rules using rotated hyperboxes as individuals of a genetic algorithm (GA). Our method attempts to find out hyperboxes at any orientation by combining deterministic hill-climbing ...
Capítulo de Libro
Revisiting the Yeast Cell Cycle Problem with the Improved TriGen Algorithm
(IEEE, 2011)
Analyzing microarray data represents a computational challenge due to the characteristics of these data. Clustering techniques are widely applied to create groups of genes that exhibit a similar behavior under the ...
Artículo
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data
(Elsevier, 2014)
Analyzing microarray data represents a computational challenge due to the characteristics of these data. Clustering techniques are widely applied to create groups of genes that exhibit a similar behavior under the conditions ...
Capítulo de Libro
Unravelling the Yeast Cell Cycle Using the TriGen Algorithm
(Springer, 2011)
Analyzing microarray data represents a computational challenge due to the characteristics of these data. Clustering techniques are widely applied to create groups of genes that exhibit a similar behavior under the ...