Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.2/2795
Título: A feature selection approach in the study of azorean proverbs
Autor: Cavique, Luís
Mendes, Armando Brito
Funk, Matthias
Santos, Jorge M. Azevedo
Palavras-chave: Data mining
Feature selection
Logicla analysis of data
Rough sets
Data: Nov-2013
Editora: IGI Global
Resumo: 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, we 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 we 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.
Peer review: yes
URI: http://hdl.handle.net/10400.2/2795
ISBN: 146664785X
Aparece nas colecções:Ciências e Tecnologia - Capítulos/artigos em livros internacionais / Book chapters/papers in international books

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