Association rule mining following the web search paradigm

Authors:
Radek Škrabal;Milan Šimůnek;Stanislav Vojíř;Andrej Hazucha;Tomáš Marek;David Chudán;Tomáš Kliegr
Affiliations:
Department of Information and Knowledge Engineering, University of Economics, Prague 3, Czech Republic;Department of Information and Knowledge Engineering, University of Economics, Prague 3, Czech Republic;Department of Information and Knowledge Engineering, University of Economics, Prague 3, Czech Republic;Department of Information and Knowledge Engineering, University of Economics, Prague 3, Czech Republic;Department of Information and Knowledge Engineering, University of Economics, Prague 3, Czech Republic;Department of Information and Knowledge Engineering, University of Economics, Prague 3, Czech Republic;Department of Information and Knowledge Engineering, University of Economics, Prague 3, Czech Republic
Venue:
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Year:
2012

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Abstract

I:ZI Miner (sewebar.vse.cz/izi-miner ) is an association rule mining system with a user interface resembling a search engine. It brings to the web the notion of interactive pattern mining introduced by the MIME framework at ECML'11 and KDD'11. In comparison with MIME, I:ZI Miner discovers multi-valued attributes, supports the full range of logical connectives and 19 interest measures. A relevance feedback module is used to filter the rules based on previous user interactions.