Ángel Ferreira-Santiago

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A qualitative common perception of the software industry is that it finishes its projects late and over budget, whereas from a quantitative point of view, only 39 % of software projects are finished on time compared to the schedule when the project started. This low percentage has been attributed to factors such as unrealistic time frames and lack of(More)
Feature selection aims to nd ways to single out the subset of features which best represents the phenomenon at hand and improves performance. This paper presents an approach based on evolutionary computation and the associative paradigm for classi cation. A wrapperstyle search guided by a genetic algorithm uses the Hybrid Associative Classi er to evaluate(More)
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