Discovery of fuzzy predicates in database

DOI

10.2991/.2013.6How to use a DOI?

Keywords

Knowledge Discovery in Databases, Predicates, Fuzzy logic, Metaheuristics

Abstract

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/.2013.6
ID  - CerutoCordovés2013/10
ER  -