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Introduction Concept lattice-based theory, methods and tools for knowledge discovery in databases: Application

Engelbert Mephu Nguifo 1 Vincent Duquenne 2 Michel Liquière 3
2 C&O - Equipe combinatoire et optimisation
IMJ-PRG - Institut de Mathématiques de Jussieu - Paris Rive Gauche
3 COCONUT - Agents, Apprentissage, Contraintes
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Concept or Galois Lattices (CL) provide a productive framework for a variety of problems that arise in Knowledge Discovery in Databases (KDD). This paper introduces this special issue of Applied Artificial Intelligence devoted to applications of Concept Lattices for KDD (CLKDD).The papers in this volume come from a call for papers issued after the first International Workshop on Concept Lattice-based Theory, Methods and Tools for KDD held in July 2001at Stanford University. Another special issue devoted to algorithms and methods of CLKDDwill appear in the Journal of Experimental and Theoretical Artificial Intelligence.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00269653
Contributor : Christine Carvalho de Matos <>
Submitted on : Thursday, April 3, 2008 - 8:22:08 AM
Last modification on : Saturday, April 11, 2020 - 1:58:51 AM

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Engelbert Mephu Nguifo, Vincent Duquenne, Michel Liquière. Introduction Concept lattice-based theory, methods and tools for knowledge discovery in databases: Application. Applied Artificial Intelligence, Taylor & Francis, 2003, 17 (3), pp.177-180. ⟨10.1080/08839510390187125⟩. ⟨lirmm-00269653⟩

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