Discovery of fuzzy predicates in database
Taymi Ceruto Cordovés, Orenia Lapeira Mena, Alejandro Rosete Suárez, Rafael Espín Andrade
Taymi Ceruto Cordovés
Available Online October 2013.
- https://doi.org/10.2991/.2013.6How to use a DOI?
- Knowledge Discovery in Databases, Predicates, Fuzzy logic, Metaheuristics
- Advanced technologies have enabled us to collect large amounts of data. These data may be transformed into use-ful knowledge. Because of our limited ability to manually process the data, it is necessary to use automatic tools to mine useful knowledge. Many data-mining methods have been proposed which are normally restricted to a given representation, such as rules and clusters. This paper pro-poses FuzzyPred, a metaheuristics-based data-mining method to obtain fuzzy predicates in normal form. We believe that the patterns obtained by FuzzyPred represent an interesting new representation of knowledge that is on-ly obtained by our proposal.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Taymi Ceruto Cordovés AU - Orenia Lapeira Mena AU - Alejandro Rosete Suárez AU - Rafael Espín Andrade PY - 2013/10 DA - 2013/10 TI - Discovery of fuzzy predicates in database BT - Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support PB - Atlantis Press SP - 45 EP - 54 SN - 1951-6851 UR - https://doi.org/10.2991/.2013.6 DO - https://doi.org/10.2991/.2013.6 ID - CerutoCordovés2013/10 ER -