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Capítulo de Libro
Visualization techniques of management rules for software development projects
(2003)
The application of data mining techniques to the managing of software development projects (SDP) is not an uncommon phenomenon, as in any other productive process that generates information in the way of input data and ...
Capítulo de Libro
Fast Feature Ranking Algorithm
(2003)
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simpler and easy to understand. The algorithm has ...
Capítulo de Libro
Natural Coding: A More Efficient Representation for Evolutionary Learning
(2003)
To select an adequate coding is one of the main problems in applications based on Evolutionary Algorithms. Many codings have been proposed to represent the search space for obtaining decision rules. A suitable representation ...
Ponencia
Generation of Management Rules through System Dynamics and Evolutionary Computation
(Springer, 2002)
Decision making has been traditionally based on a managers experience. This paper, however, discusses how a software project simulator based on System Dynamics and Evolutionary Computation can be combined to obtain ...
Capítulo de Libro
Data Mining Approaches to Diffuse Large B–Cell Lymphoma Gene Expression Data Interpretation
(2004)
This paper presents a comprehensive study of gene expression patterns originating from a diffuse large B–cell lymphoma (DLBCL) database. It focuses on the implementation of feature selection and classification techniques. ...
Capítulo de Libro
SOAP: Efficient Feature Selection of Numeric Attributes
(2002)
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simpler and easy to understand. Depending on the ...
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 ...
Ponencia
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 ...
Capítulo de Libro
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, ...
Capítulo de Libro
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 ...