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Symbolic Galois Lattices with Pattern Structures

Prakhar Agarwal Mehdi Kaytoue 1 Sergei O. Kuznetsov Amedeo Napoli 1 Géraldine Polaillon 2
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 E3S - Supélec Sciences des Systèmes
Abstract : 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.
Keywords : Concept analysis Symbolic data analysis Pattern structures
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Conference papers
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https://hal-supelec.archives-ouvertes.fr/hal-00631473
Contributor : Evelyne Faivre <>
Submitted on : Wednesday, October 12, 2011 - 2:37:06 PM
Last modification on : Monday, December 14, 2020 - 12:38:04 PM

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CNRS | INRIA | SUPELEC | LORIA | UNIV-LORRAINE

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Prakhar Agarwal, Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli, Géraldine Polaillon. Symbolic Galois Lattices with Pattern Structures. Thirteenth International Conference on Rough Sets, Fuzzy Sets and Granular Computing - RSFDGrC-2011, Jun 2011, Moscou, Russia. pp.191-198, ⟨10.1007/978-3-642-21881-1_31⟩. ⟨hal-00631473⟩

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