Browsing by Author "Martínez Ballesteros, María del Mar"
Now showing items 1-13 of 13
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A Sensitivity Analysis for Quality Measures of Quantitative Association Rules [Chapter of Book]
(Springer, 2013)There exist several fitness function proposals based on a combination of weighted objectives to optimize the discovery ...
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An evolutionary algorithm to discover quantitative association rules in multidimensional time series [Article]
(Springer, 2011)An evolutionary approach for finding existing relationships among several variables of a multidimensional time series ...
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Analysis of Measures of Quantitative Association Rules [Chapter of Book]
(Springer, 2011)This paper presents the analysis of relationships among different interestingness measures of quality of association rules ...
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Analysis of the evolution of the Spanish labour market through unsupervised learning [Article]
(Institute of Electrical and Electronics Engineers (IEEE), 2019)Unemployment in Spain is one of the biggest concerns of its inhabitants. Its unemployment rate is the second highest in ...
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Discovering gene association networks by multi-objective evolutionary quantitative association rules [Article]
(Elsevier, 2014)In the last decade, the interest in microarray technology has exponentially increased due to its ability to monitor the ...
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Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets [Article]
(iOS Press, 2015)Association rule mining is a well-known methodology to discover significant and apparently hidden relations among attributes ...
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Evolutionary Algorithms to Discover Quantitative Association Rules [PhD Thesis]
(2011) -
Improving a multi-objective evolutionary algorithm to discover quantitative association rules [Article]
(Springer, 2015)This work aims at correcting flaws existing in multi-objective evolutionary schemes to discover quantitative association ...
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Inferring Gene-Gene Associations from Quantitative Association Rules [Chapter of Book]
(IEEE, 2011)The microarray technique is able to monitor the change in concentration of RNA in thousands of genes simultaneously. The ...
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Obtaining optimal quality measures for quantitative association rules [Article]
(Elsevier, 2016)There exist several works in the literature in which fitness functions based on a combination of weighted measures for the ...
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On the use of algorithms to discover motifs in DNA sequences [Presentation]
(IEEE, 2011)Many approaches are currently devoted to find DNA motifs in nucleotide sequences. However, this task remains challenging ...
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Quantitative Association Rules Applied to Climatological Time Series Forecasting [Chapter of Book]
(2009)This work presents the discovering of association rules based on evolutionary techniques in order to obtain relationships ...
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Selecting the best measures to discover quantitative association rules [Article]
(Elsevier, 2014)The majority of the existing techniques to mine association rules typically use the support and the confidence to evaluate ...