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...
- 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