Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Cited by Google
- Similars in SciELO
- Similars in Google
Share
DYNA
Print version ISSN 0012-7353On-line version ISSN 2346-2183
Abstract
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.
Keywords : knowledge discovery; Rough Sets Theory..