Association Rule Mining Following the Web Search Paradigm

نویسندگان

  • Radek Skrabal
  • Milan Simunek
  • Stanislav Vojír
  • Andrej Hazucha
  • Tomás Marek
  • David Chudán
  • Tomás Kliegr
چکیده

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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تاریخ انتشار 2012