A generic approach for modeling and mining n-ary patterns

  • Authors:
  • Mehdi Khiari;Patrice Boizumault;Bruno Crémilleux

  • Affiliations:
  • GREYC, CNRS, UMR, Université de Caen Basse-Normandie, Caen Cedex, France;GREYC, CNRS, UMR, Université de Caen Basse-Normandie, Caen Cedex, France;GREYC, CNRS, UMR, Université de Caen Basse-Normandie, Caen Cedex, France

  • Venue:
  • ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
  • Year:
  • 2011

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Abstract

The aim of this paper is to model and mine patterns combining several local patterns (n-ary patterns). First, the user expresses his/her query under constraints involving n-ary patterns. Second, a constraint solver generates the correct and complete set of solutions. This approach enables to model in a flexible way sets of constraints combining several local patterns and it leads to discover patterns of higher level. Experiments show the feasibility and the interest of our approach.