Applying Domain Knowledge in Association Rules Mining Process - First Experience

نویسندگان

  • Jan Rauch
  • Milan Simunek
چکیده

First experiences with utilization of formalized items of domain knowledge in a process of association rules mining are described. We use association rules atomic consequences of items of domain knowledge and suitable deduction rules to filter out uninteresting association rules. The approach is experimentally implemented in the LISp–Miner system. PUBLISHED IN: Foundations of Intelligent Systems Lecture Notes in Computer Science, 2011, Volume 6804/2011, 113-122 see also http://www.springerlink.com/content/x311835h07j27503/

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تاریخ انتشار 2011