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Analysis of Measures of Quantitative Association Rules [Chapter of Book]
This paper presents the analysis of relationships among different interestingness measures of quality of association rules as first step to select the best objectives in order to develop a multi-objective algorithm. For ...
Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection [Article]
Radial Basis Function Neural Networks (RBFNNs) have been successfully employed in several function approximation and pattern recognition problems. The use of different RBFs in RBFNN has been reported in the literature ...
Inferring Gene-Gene Associations from Quantitative Association Rules [Chapter of Book]
The microarray technique is able to monitor the change in concentration of RNA in thousands of genes simultaneously. The interest in this technique has grown exponentially in recent years and the difficulties in analyzing ...
Selecting the best measures to discover quantitative association rules [Article]
The majority of the existing techniques to mine association rules typically use the support and the confidence to evaluate the quality of the rules obtained. However, these two measures may not be sufficient to properly ...