Introduction Concept lattice-based theory, methods and tools for knowledge discovery in databases: Application - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Journal Articles Applied Artificial Intelligence Year : 2003

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

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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lirmm-00269653 , version 1 (03-04-2008)

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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, 2003, 17 (3), pp.177-180. ⟨10.1080/08839510390187125⟩. ⟨lirmm-00269653⟩
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