Faculty of Informatics and Statistics, Department of Information and Knowledge Engineering (DIKE)

Date and time: March 1 2012 (11:00 – 12:30). Non–standard date or time!

Room: 403 NB


Mining for Association Meta-Rules


  • Petr Berka, KIZI, VŠE Praha

We present a novel approach to post-processing of association rules based on the idea of meta-learning. A subsequent association rule mining step is applied to the results of ”standard” association rule mining. We thus obtain ”rules about rules” that help to better understand the association rules generated in the first step. We define various types of such meta-rules and report some experiments on various data sets.

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