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Mostrando ítems 11-20 de 117
Artículo
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Incremental Rule Learning and Border Examples Selection from Numerical Data Streams
(Graz University of Technology, Institut für Informationssysteme und Computer Medie, 2005)
Mining data streams is a challenging task that requires online systems based on incremental learning approaches. This paper describes a classification system based on decision rules that may store up–to–date border ...
Ponencia
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Best Agglomerative Ranked Subset for Feature Selection
(2008-09)
The enormous increase of the size in databases makes finding an optimal subset of features extremely difficult. In this paper, a new feature selection method is proposed that will allow any subset evaluator -including the ...
Artículo
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CarGene: Characterisation of sets of genes based on metabolic pathways analysis
(Inderscience, 2011)
The great amount of biological information provides scientists with an incomparable framework for testing the results of new algorithms. Several tools have been developed for analysing gene-enrichment and most of them ...
Artículo
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Contact map prediction using a large-scale ensemble of rule sets and the fusion of multiple predicted structural features
(Oxford University Press, 2012)
Motivation: The prediction of a protein’s contact map has become in recent years, a crucial stepping stone for the prediction of the com-plete 3D structure of a protein. In this article, we describe a method-ology for ...
Capítulo de Libro
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An efficient data structure for decision rules discovery
(2003)
The increasing amount of information available is encouraging the search for efficient techniques to improve the data mining methods, especially those which consume great computational resources. We present a novel structure, ...
Informe
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Data Mining (LSI-2000-08)
(2000)
Capítulo de Libro
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Analysis of Feature Rankings for Classification
(2005)
Different ways of contrast generated rankings by feature selection algorithms are presented in this paper, showing several possible interpretations, depending on the given approach to each study. We begin from the premise ...
Artículo
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Searching for rules to detect defective modules: A subgroup discovery approach
(Elsevier, 2012)
Data mining methods in software engineering are becoming increasingly important as they can support several aspects of the software development life-cycle such as quality. In this work, we present a data mining approach ...
Artículo
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Knowledge-Based Fast Evaluation for Evolutionary Learning
(IEEE, 2005)
The increasing amount of information available is encouraging the search for efficient techniques to improve the data mining methods, especially those which consume great computational resources, such as evolutionary ...
Ponencia
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Shifting Patterns Discovery in Microarrays with Evolutionary Algorithms
(Springer, 2006)
In recent years, the interest in extracting useful knowledge from gene expression data has experimented an enormous increase with the development of microarray technique. Biclustering is a recent technique that aims at ...