Algorithm Integration Behavior for Discovering Group Membership Rules
Information exploitation processes use different data mining algorithms for obtaining knowledge patterns from data obtained on the problem domain. One of the assumptions when working with these algorithms is that the complexity of the membership domain of the cases they use does not affect the quali...
- Autores:
-
silva d, jesus g
Rondón Rodriguez, Carlos Andres
Ospino Abuabara, Cesar
León Castro, Nadia Angélica Gisela
Perez Coronell, Leidy
Hernandez-P, Hugo
REDONDO BILBAO, OSMAN ENRIQUE
Cabrera, Danelys
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2019
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/5577
- Acceso en línea:
- https://hdl.handle.net/11323/5577
https://repositorio.cuc.edu.co/
- Palabra clave:
- Information exploitation engineering
Information exploitation process
Complexity of domains
Clustering and induction algorithm performance
- Rights
- openAccess
- License
- CC0 1.0 Universal