Discovery of fuzzy predicates in database

被引：0
|
作者：
Ceruto Cordoves, Taymi [1 ]
Lapeira Mena, Orenia [1 ]
Rosete Suarez, Alejandro [1 ]
Espin Andrade, Rafael [1 ]
机构：
[1] Higher Tech Inst Jose Antonio Echeverria CUJAE, Havana, Cuba
来源：
PROCEEDINGS OF THE FOURTH INTERNATIONAL WORKSHOP ON KNOWLEDGE DISCOVERY, KNOWLEDGE MANAGEMENT AND DECISION SUPPORT (EUREKA-2013) | 2013年 / 51卷
关键词：
Knowledge Discovery in Databases; Predicates; Fuzzy logic; Metaheuristics;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Advanced technologies have enabled us to collect large amounts of data. These data may be transformed into useful 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 proposes 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 only obtained by our proposal.
引用
收藏
页码：45 / 54
页数：10
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