Association Rule Mining Following the Web Search Paradigm

Author: Radek Škrabal, Milan Šimůnek, Stanislav Vojíř, Andrej Hazucha,Tomáš Marek, David Chudán, Tomáš Kliegr

In Proceedings of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2012) held in Bristol, UK from September 24th to 28th, 2012.

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.

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