Transformations of symbolic data for continuous data oriented models

Authors:
Krzysztof Grąbczewski;Norbert Jankowski
Affiliations:
Department of Informatics, Nicolaus Copernicus University, Torun, Poland;Department of Informatics, Nicolaus Copernicus University, Torun, Poland
Venue:
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Year:
2003

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Abstract

Most of Computational Intelligence models (e.g. neural networks or distance based methods) are designed to operate on continuous data and provide no tools to adapt their parameters to data described by symbolic values. Two new conversion methods which replace symbolic by continuous attributes are presented and compared to two commonly known ones. The advantages of the continuousification are illustrated with the results obtained with a neural network, SVM and a kNN systems for the converted data.