Experimental study of evolutionary based method of rule extraction from neural networks in medical data

Authors:
Urszula Markowska-Kaczmar;Rafal Matkowski
Affiliations:
Wroclaw University of Technology, Medical University of Wroclaw, Poland;Wroclaw University of Technology, Medical University of Wroclaw, Poland
Venue:
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
Year:
2006

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Abstract

In the paper the method of rule extraction from neural networks based on evolutionary approach, called GEX, is presented. Its details are described but the main stress is focussed on the experimental studies, the aim of which was to examine its usefulness in knowledge discovery and rule extraction for classification task of medical data. The tests were made using the well-known benchmark data sets from UCI, as well as two other data sets collected by Lower Silesian Oncology Center.