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Hermes: an efficient algorithm for building Galois sub-hierarchies

Identifieur interne : 001902 ( Main/Exploration ); précédent : 001901; suivant : 001903

Hermes: an efficient algorithm for building Galois sub-hierarchies

Auteurs : Anne Berry [France] ; Marianne Huchard [France] ; Amedeo Napoli [France] ; Alain Sigayret [France]

Source :

RBID : Hal:lirmm-00743882

Descripteurs français

Abstract

Given a binary relation R on a set O of objects and a set A of attributes, the Galois sub-hierarchy (also called AOC-poset) is the partial order on the introducers of objects and attributes in the corresponding concept lattice. We present a new efficient algorithm for building a Galois sub-hierarchy which runs in O(min{nm, n ^{\alpha}}), where n is the number of objects or attributes, m is the size of the relation, and n ^{\alpha} is the time required to perform matrix multiplication (currently \alpha = 2.376).

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<orgName>Laboratoire Lorrain de Recherche en Informatique et ses Applications</orgName>
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<addrLine>Campus Scientifique BP 239 54506 Vandoeuvre-lès-Nancy Cedex</addrLine>
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<addrLine>Bât ISIMA Campus des Cézeaux BP 10025 63173 AUBIERE cedex</addrLine>
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<orgName>Université Blaise Pascal - Clermont-Ferrand 2</orgName>
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<addrLine>34, avenue Carnot - BP 185 - 63006 Clermont-Ferrand cedex</addrLine>
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<orgName>Université d'Auvergne - Clermont-Ferrand I</orgName>
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<keywords scheme="mix" xml:lang="fr">
<term>AOC-concept poset</term>
<term>Concept lattice</term>
<term>Galois Sub-Hierarchy</term>
<term>Galois lattice</term>
<term>algorithm</term>
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<front>
<div type="abstract" xml:lang="en">Given a binary relation R on a set O of objects and a set A of attributes, the Galois sub-hierarchy (also called AOC-poset) is the partial order on the introducers of objects and attributes in the corresponding concept lattice. We present a new efficient algorithm for building a Galois sub-hierarchy which runs in O(min{nm, n ^{\alpha}}), where n is the number of objects or attributes, m is the size of the relation, and n ^{\alpha} is the time required to perform matrix multiplication (currently \alpha = 2.376).</div>
</front>
</TEI>
<affiliations>
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<country>
<li>France</li>
</country>
<region>
<li>Grand Est</li>
<li>Lorraine (région)</li>
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<li>Metz</li>
<li>Nancy</li>
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<li>Université de Lorraine</li>
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