Abstract
The main goal of our research was to compile new methodology for building simplified learning models in a form of decision rule set. Every investigated source informational dataset was extended by application of constructive induction method to get a new, additional, descriptive attribute, and then sets of decision rules were developed for source and for extended database, respectively. In the last step, obtained set of rules were optimized and compared to earlier set of rules.
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Paja, W., Wrzesień, M. (2010). Medical Datasets Analysis: A Constructive Induction Approach. In: Perner, P. (eds) Advances in Data Mining. Applications and Theoretical Aspects. ICDM 2010. Lecture Notes in Computer Science(), vol 6171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14400-4_34
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DOI: https://doi.org/10.1007/978-3-642-14400-4_34
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