An Automatic Document Classifier System Based on Genetic Algorithm and Taxonomy

AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-10-05T16:32:11Z
Fecha de publicación2018-01-01
ResumenThe use of the Web has increased the creation of digital information in an accelerated way and about multiple subjects. Text classification is widely used to filter emails, classify Web pages, and organize results retrieved by Web browsers. In this paper, we propose to raise the problem of automatic classification of scientific texts as an optimization problem, which will allow obtaining groups from a data set. The use of evolutionary algorithms to solve classification problems has been a recurrent approach. However, there are a few approaches in which classification problems are solved, where the data attributes to be classified are text-type. In this way, it is proposed to use the association for computing machinery taxonomy to obtain the similarity between documents, where each document consists of a set of keywords. According to the results obtained, the algorithm is competitive, which indicates that the proposal of a knowledge-based genetic algorithm is a viable approach to solve the classification problem.es_ES
Doihttps://doi.org/10.1109/access.2018.2815992es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/4019
Idiomaenes_ES
EditorialIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCes_ES
RelaciónIEEE Accesses_ES
URL relacionadohttps://doi.org/10.1109/access.2018.2815992es_ES
DerechosAcceso abierto (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_abf2es_ES
FuenteIEEE Access
Palabra claveClassification algorithmses_ES
Palabra clavegenetic algorithmses_ES
Palabra claveevolutionary computationes_ES
Palabra claveoptimizationes_ES
TítuloAn Automatic Document Classifier System Based on Genetic Algorithm and Taxonomyes_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorDiaz-Manriquez, Alan
AutorBertha Rios-Alvarado, Ana
AutorHugo Barron-Zambrano, Jose
AutorYukary Guerrero-Melendez, Tania
AutorCarlos Elizondo-Leal, Juan
AutorDiaz-Manriquez, Alanes_ES
AutorBertha Rios-Alvarado, Anaes_ES
AutorHugo Barron-Zambrano, Josees_ES
AutorYukary Guerrero-Melendez, Taniaes_ES
AutorCarlos Elizondo-Leal, Juanes_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Rango de páginas21552-21559es_ES
URL relacionadahttps://doi.org/10.1109/access.2018.2815992
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen6es_ES

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