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hal-00631473, version 1

Symbolic Galois Lattices with Pattern Structures

Prakhar Agarwal, Mehdi Kaytoue 1, Sergei O. Kuznetsov, Amedeo Napoli 1, Géraldine Polaillon 2

Thirteenth International Conference on Rough Sets, Fuzzy Sets and Granular Computing - RSFDGrC-2011 6743 (2011) 191-198

Résumé : Concept lattices are mathematical structures useful for many tasks in knowledge discovery and management. A concept lattice is basically obtained from binary data encoding the membership of some attributes to some objects. Dealing with complex data brings the important problem of discretization and the associated loss of information. To avoid discretization, (i) pattern structures and (ii) symbolic data analysis provide means to analyze such complex data directly. We compare both these approaches and show how they are mutually beneficial.

  • 1 :  ORPAILLEUR (INRIA Lorraine - LORIA)
  • INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
  • 2 :  Supélec Sciences des Systèmes - EA4454 (E3S)
  • SUPELEC
  • Domaine : Informatique/Apprentissage
  • Mots-clés : Concept analysis – Symbolic data analysis – Pattern structures
 
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  • Soumis le : Mercredi 12 Octobre 2011, 14:37:06
  • Dernière modification le : Vendredi 21 Octobre 2011, 17:14:11