DocumentCode
1634527
Title
GPSQL Miner: SQL-grammar genetic programming in data mining
Author
Ishida, Celso Y. ; Pozo, Aurora T R
Author_Institution
Comput. Sci. Dept., Univ. Fed. do Parana, Curitiba, Brazil
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1226
Lastpage
1231
Abstract
The present work describes GPSQL Miner, a genetic programming system for mining relational databases. This system uses grammar genetic programming for classification´s task and one of its main features is the representation of the classifiers. The system uses SQL grammar, which facilitates the evaluation process, once the data are in relational databases. The tool was tested with some databases and the results were compared with other algorithms. These first experiments have shown promising results for the classification task
Keywords
SQL; data mining; genetic algorithms; grammars; relational databases; GPSQL Miner; SQL-grammar genetic programming; data mining; relational databases; Character generation; Computer science; Data mining; Database systems; Deductive databases; Genetic programming; Humans; Relational databases; Spatial databases; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1004418
Filename
1004418
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