Formal Concept Analysis 6th International Conference, ICFCA 2008, Mo
Formal Concept Analysis (FCA) is a mathematical theory of concepts and c- ceptualhierarchyleadingtomethodsforconceptuallyanalyzingdataandkno- edge. The theoryitselfstronglyreliesonorderandlatticetheory,whichhasbeen studied by mathematicians over decades.
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Subseries of Lecture Notes in Computer Science
4933
Raoul Medina Sergei Obiedkov (Eds.)
Formal Concept Analysis 6th International Conference, ICFCA 2008 Montreal, Canada, February 25-28, 2008 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 Raoul Medina L.I.M.O.S. Université Blaise Pascal Clermont-Ferrand, France E-mail: [email protected] Sergei Obiedkov Higher School of Economics Moscow, Russia E-mail: [email protected]
Library of Congress Control Number: 2008920681
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 3-540-78136-6 Springer Berlin Heidelberg New York 978-3-540-78136-3 Springer Berlin Heidelberg New York
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Preface
Formal Concept Analysis (FCA) is a mathematical theory of concepts and conceptual hierarchy leading to methods for conceptually analyzing data and knowledge. The theory itself strongly relies on order and lattice theory, which has been studied by mathematicians over decades. FCA proved itself highly relevant in several applications from the beginning, and, over the last years, the range of applications has kept growing. The main reason for this comes from the fact that our modern society has turned into an “information” society. After years and years of using computers, companies realized they had stored gigantic amounts of data. Then, they realized that this data, just rough information for them, might become a real treasure if turned into knowledge. FCA is particularly well suited for this purpose. From relational data, FCA can extract implications, dependencies, concepts and hierarchies of concepts, and thus capture part of the knowledge hidden in the data. The ICFCA conference series gathers researchers from all over the world, being the main forum to present new results in FCA and related fields. These results range from theoretical novelties to advances in FCA-related algorithmic issues, as well as application domains of FCA. ICFCA 2008 was in the same vein as its predecessors: high-quality papers an
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