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MPGN – An Approach for Discovering Class Association Rules

Mitov, Iliya — 2011

Serdica Journal of Computing

his article presents some of the results of the Ph.D. thesis Class Association Rule Mining Using MultiDimensional Numbered Information Spaces by Iliya Mitov (Institute of Mathematics and Informatics, BAS), successfully defended at Hasselt University, Faculty of Science on 15 November 2011 in Belgium The article briefly presents some results achieved within the PhD project R1876Intelligent Systems’ Memory Structuring Using Multidimensional Numbered Information Spaces, successfully defended...

Classifier PGN: Classification with High Confidence Rules

Mitov, Iliya;  Depaire, Benoit;  Ivanova, Krassimira;  Vanhoof, Koen — 2013

Serdica Journal of Computing

ACM Computing Classification System (1998): H.2.8, H.3.3. Associative classifiers use a set of class association rules, generated from a given training set, to classify new instances. Typically, these techniques set a minimal support to make a first selection of appropriate rules and discriminate subsequently between high and low quality rules by means of a quality measure such as confidence. As a result, the final set of class association rules have a support equal or greater than a...

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