Viktor Jovanoski

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This paper is a study of the problem of relevance in inductive concept learning. It gives definitions of irrelevant literals and irrelevant examples and presents ecient algorithms that enable their elimination. The proposed approach is directly applicable in propositional learning and in relation learning tasks that can be solved using a LINUS(More)
Mining of association rules became one of the strongest elds of data mining This paper presents a classi cation rule learning algo rithm APRIORI C upgrading APRIORI to dealing with classi cation problems decreasing its memory consumption and time complexity fur ther decreasing its time complexity by feature subset selection and im proving the(More)
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