Servicios Personalizados
Revista
Articulo
Indicadores
- Citado por SciELO
- Accesos
Links relacionados
- Citado por Google
- Similares en SciELO
- Similares en Google
Compartir
DYNA
versión impresa ISSN 0012-7353versión On-line ISSN 2346-2183
Resumen
CABALLERO, YAILÉ et al. ROUGH SETS THEORY TO KNOWLEDGE DISCOVERY. Dyna rev.fac.nac.minas [online]. 2010, vol.77, n.162, pp.261-270. ISSN 0012-7353.
The Rough Set Theory (RST) opened a new direction in the development of incomplete information theories and is a powerful tool for the analysis of data. In this investigation the possibility is demonstrated of using this theory to generate knowledge on a data set. A proposal is developed to characterize sets of training, using measures of estimation of the RST. The proposal has been studied experimentally using international data bases and satisfactory results have been obtained.
Palabras clave : knowledge discovery; Rough Sets Theory..