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Conference papers

CORON: A Framework for Levelwise Itemset Mining Algorithms

Laszlo Szathmary 1 Amedeo Napoli 1
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : CORON is a framework for levelwise algorithms that are designed to find frequent and/or frequent closed itemsets in binary contexts. Datasets can be very different in size, number of objects, number of attributes, density, etc. As there is no one best algorithm for arbitrary datasets, we want to give a possibility for users to try different algorithms and choose the one that best suits their needs.
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Submitted on : Monday, April 10, 2006 - 3:10:56 PM
Last modification on : Wednesday, February 2, 2022 - 3:51:53 PM
Long-term archiving on: : Saturday, April 3, 2010 - 9:10:34 PM


  • HAL Id : inria-00001201, version 1



Laszlo Szathmary, Amedeo Napoli. CORON: A Framework for Levelwise Itemset Mining Algorithms. Third International Conference on Formal Concept Analysis - ICFCA '05, Feb 2005, Lens/France, pp.110--113. ⟨inria-00001201⟩



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