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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1004418
