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Titulo: Extracting Knowledge from Databases with Genetic Programming: Iris Flower Classification Problem
Tipo: congreso internacional
Congreso: 2003. International Conference on Computational Intelligence for Modelling, Control and Automation-CIMCA 2003
Fecha: 12-14/2/2003
Lugar celebracion: Viena (Austria)
Paginas: 21-22
ISBN: 1-7408-8068-4
Libro: Proceedings del 2003 International Conference on Computational Intelligence For Modelling, Control & Automation


In the world of databases the extraction of knowledge has been a very useful tool for many different purposes and tried with many different techniques. In this paper we use Genetic Programming (GP) to solve a classification problem from a database and we will show how we can adapt this tool en two different ways: to improve its performance and to make possible the detection of errors. Results show that the technique developed in this paper opens a new area for research in the field extracting knowledge from more complicated structures, like neural networks.

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