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Artículo
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 ...
Artículo
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
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 ...
Informe
Data Mining (LSI-2000-08)
(2000)
Artículo
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
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 ...
Artículo
Soft computing methods for the prediction of protein tertiary structures: A survey
(Elsevier, 2015)
The problem of protein structure prediction (PSP) represents one of the most important challenges in computational biology. Determining the three dimensional structure of proteins is necessary to under stand their functions ...
Artículo
Energy Time Series Forecasting Based on Pattern Sequence Similarity
(IEEE, 2011)
This paper presents a new approach to forecast the behavior of time series based on similarity of pattern sequences. First, clustering techniques are used with the aim of grouping and labeling the samples from a data set. ...
Artículo
Biclustering on expression data: A review
(Elsevier, 2015)
Biclustering has become a popular technique for the study of gene expression data, especially for discovering functionally related gene sets under different subsets of experimental conditions. Most of biclustering approaches ...