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Association rule mining following the web search paradigm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2012) 7524 LNAI(PART 2) 808-811
DOI: 10.1007/978-3-642-33486-3_52
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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. © 2012 Springer-Verlag.

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Škrabal, R., Šimůnek, M., Vojíř, S., Hazucha, A., Marek, T., Chudán, D., & Kliegr, T. (2012). Association rule mining following the web search paradigm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7524 LNAI, pp. 808–811). https://doi.org/10.1007/978-3-642-33486-3_52

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