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Title: A Feature Selection Approach in the Study of Azorean Proverbs
Authors: Santos, Jorge
Cavique, Luis
mendes, Armando
Funk, Matthias
Editors: Masegosa, Antonio D.
Villacorta, Pablo J.
Carlos, Cruz-Corona
Lamata, María T.
García-Cascales, M. Socorro
Hershey, José L. Verdegay.
Keywords: Logical Analysis
Rough Sets
Issue Date: 2014
Publisher: IGI Global
Citation: Cavique, Luís, Armando B. Mendes, Matthias Funk, and Jorge M. A. Santos. "A Feature Selection Approach in the Study of Azorean Proverbs." Exploring Innovative and Successful Applications of Soft Computing. Ed. Antonio D. Masegosa, Pablo J. Villacorta, Carlos Cruz-Corona, M. Socorro García-Cascales, María T. Lamata, and José L. Verdegay. Hershey: IGI Global, 2014. 38-58. Print.
Abstract: A paremiologic (study of proverbs) case is presented as part of a wider project based on data collected among the Azorean population. Given the considerable distance between the Azores islands, the authors present the hypothesis that there are significant differences in the proverbs from each island, thus permitting the identification of the native island of the interviewee based on his or her knowledge of proverbs. In this chapter, a feature selection algorithm that combines Rough Sets and the Logical Analysis of Data (LAD) is presented. The algorithm named LAID (Logical Analysis of Inconsistent Data) deals with noisy data, and the authors believe that an important link was established between the two different schools with similar approaches. The algorithm was applied to a real world dataset based on data collected using thousands of interviews of Azoreans, involving an initial set of twenty-two thousand Portuguese proverbs
ISBN: 10 146664785X
Type: bookPart
Appears in Collections:CIMA - Publicações - Capítulos de Livros

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