Association Rule Mining Following the Web Search Paradigm

  • Radek Škrabal
  • Milan Šimůnek
  • Stanislav Vojíř
  • Andrej Hazucha
  • Tomáš Marek
  • David Chudán
  • Tomáš Kliegr
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7524)

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Radek Škrabal
    • 1
  • Milan Šimůnek
    • 1
  • Stanislav Vojíř
    • 1
  • Andrej Hazucha
    • 1
  • Tomáš Marek
    • 1
  • David Chudán
    • 1
  • Tomáš Kliegr
    • 1
  1. 1.Department of Information and Knowledge EngineeringUniversity of EconomicsPrague 3Czech Republic

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