Effects of using reducts in the performance of the irbasir algorithm

Feature selection is a preprocessing technique with the objective of fi nding a subset of attributes that improve the classifi erperformance. In this paper, a new algorithm (IRBASIRRED) is presented for the generation of learning rules that uses feature selection toobtain the knowledge model. Also a...

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Autores:
Fernández, Yumilka B.
Bello, Rafael
Filiberto, Yaima
Frías, Mabel
Caballero, Yailé
Tipo de recurso:
Article of journal
Fecha de publicación:
2013
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/43790
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/43790
http://bdigital.unal.edu.co/33888/
Palabra clave:
Feature selection
classification rules
Particle Swarm Optimization
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional