Formal Concept Analysis 4th International Conference, ICFCA 2006
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Subseries of Lecture Notes in Computer Science
3874
Rokia Missaoui Jürg Schmid (Eds.)
Formal Concept Analysis 4th International Conference, ICFCA 2006 Dresden, Germany, February 13-17, 2006 Proceedings
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Rokia Missaoui Université du Québec en Outaouais Département d’informatique et d’ingénierie C.P. 1250, succursale B, Gatineau, Canada, J8X 3X7 E-mail: [email protected] Jürg Schmid Universität Bern Mathematisches Institut Sidlerstr. 5, 3012 Bern, Switzerland E-mail: [email protected]
Library of Congress Control Number: 2006920554
CR Subject Classification (1998): I.2, G.2.1-2, F.4.1-2, D.2.4, H.3 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-540-32203-5 Springer Berlin Heidelberg New York 978-3-540-32203-0 Springer Berlin Heidelberg New York
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Preface
This volume contains selected papers of ICFCA 2006, the 4th International Conference on Formal Concept Analysis. The ICFCA conference series aims to be the prime forum for the publication of advances in applied lattice and order theory and in particular scientific advances related to formal concept analysis. Formal concept analysis is a field of applied mathematics with its mathematical root in order theory, in particular the theory of complete lattices. Researchers had long been aware of the fact that these fields have many potential applications. Formal concept analysis emerged in the 1980s from efforts to restructure lattice theory to promote better communication between lattice theorists and potential users of lattice theory. The key theme was the mathematical formalization of concept and conceptual hierarchy. Since then, the field has developed into a growing research area in its own right with a thriving theoretical community and an increasing number of applications in data and knowledge processing including data visualization, information retrieval, machine learning, data analysis and knowledge management. ICFCA 2006 reflected both practical benefits and progress in the foundational theory of for
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