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Título Grammatical inference with bioinformatics criteria
Autores Vivian López Batista , Aguilar, R. , Luis Alonso Romero , María N. Moreno García , Corchado, J.M.
Resumen In this paper we describe both the theoretical and practical results of a novel approach that combines hybrid techniques of association analysis and classical sequentiation algorithms of genomics to generate the grammatical structures of a specific language. We used an application of a compiler generator system that allows a practical application to be developed within the area of grammarware, where the concepts of language analysis are applied to other disciplines, such as bioinformatics. The tool allows the complexity of the obtained grammar to be measured automatically from textual data. A technique involving the incremental discovery of sequential patterns is presented to obtain simplified production rules, and compacted with bioinformatics criteria to make up a grammar.
Nombre de la revista Neurocomputing
Número de la revista 75
Página de inicio 88
Página de finalización 97
Año 2012
Volumen 2012
ISSN 0925- 2312
Últimos índices de impacto 1.580 (2011)
DOI doi:10.1016/j.neucom.2011.03.049
Enlace http://www.sciencedirect.com/science/article/pii/S0925231211003924?_alid=1804691518&_rdoc=2&_fmt=high&_origin=search&_docanchor=&_ct=11&_zone=rslt_list_item&md5=27a9e8e371815d553ba82dbb771eea52
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