Decision rules development using set of generic operations approach

Authors:
Wiesław Paja;Mariusz Wrzesień
Affiliations:
Department of Artificial Intelligence and Expert Systems, University of Information Technology and Management in Rzeszów, Poland;Department of Artificial Intelligence and Expert Systems, University of Information Technology and Management in Rzeszów, Poland
Venue:
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
Year:
2012

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Abstract

The main goal of presented research was to compile new approach for development learning models in a form of decision rule set. This approach devotes to using primary decision table as a primitive set of rules. Thus, each of learning cases is treated as a single classification rule. Next, a set of generic operations are applied to find the final, qualitative learning model. These generic operations are implemented in the RuleSEEKER system. During this research a few well-known algorithm for rule generation were compared with proposed solution. Obtained results are similar, sometimes even better and suggests that this method is a promising solution.