GPSQL Miner: SQL-grammar genetic programming in data mining

Authors:
C. Y. Ishida;A. T. R. Pozo
Affiliations:
Comput. Sci. Dept., Univ. Fed. do Parana, Curitiba, Brazil;Comput. Sci. Dept., Univ. Fed. do Parana, Curitiba, Brazil
Venue:
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Year:
2002

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A survey on the application of genetic programming to classification

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews

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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.