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Formal Concept Analysis

7th International Conference, ICFCA 2009 Darmstadt, Germany, May 21-24, 2009 Proceedings

  • Sébastien Ferré
  • Sebastian Rudolph

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5548)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5548)

Table of contents

  1. Front Matter
  2. Invited Talks

    1. Franz Baader, Barış Sertkaya
      Pages 1-21
    2. Daniel Borchmann, Bernhard Ganter
      Pages 22-37
    3. Luc De Raedt
      Pages 57-57
    4. Rokia Missaoui, Léonard Kwuida
      Pages 58-65
    5. Boris Wyssusek
      Pages 82-82
  3. Theory

  4. Algorithms

    1. Jaume Baixeries, Laszlo Szathmary, Petko Valtchev, Robert Godin
      Pages 162-177
    2. Jens Kötters, Heinz Schmidt, David McG. Squire
      Pages 178-193
    3. Andrei Rimsa, Luis E. Zárate, Mark A. J. Song
      Pages 194-209
  5. Applications

    1. Radim Belohlavek, Niranjan Kulkarni, Vilem Vychodil
      Pages 210-223
    2. Aurélie Bertaux, Florence Le Ber, Agnès Braud, Michèle Trémolières
      Pages 224-236
    3. Claudio Carpineto, Carla Michini, Raffaele Nicolussi
      Pages 237-250
    4. Mehdi Kaytoue, Sébastien Duplessis, Sergei O. Kuznetsov, Amedeo Napoli
      Pages 251-266
    5. Uta Priss, L. John Old
      Pages 284-298
    6. Fritz Venter, Derrick G. Kourie, Bruce W. Watson
      Pages 299-313
  6. History

  7. Back Matter

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 7th International Conference on Formal Concept Analysis, ICFCA 2009, held in Darmstadt, Germany, in May 2009.

The 15 revised full papers presented were carefully reviewed and selected from 29 submissions for inclusion in the book. The papers comprise state of the art research and present new results in Formal Concept Analysis and related fields. These results range from theoretical novelties to advances in FCA-related algorithmic issues, as well as application domains of FCA such as data visualization, information retrieval, machine learning, data analysis and knowledge management.

Keywords

Analysis DOM algorithms data analysis knowledge knowledge management learning machine learning visualization

Editors and affiliations

  • Sébastien Ferré
    • 1
  • Sebastian Rudolph
    • 2
  1. 1.Irisa/Ifsic, Université de Rennes 1, Campus Universitaire de BeaulieuRennes cedexFrance
  2. 2.Institut AIFB, Universität Karlsruhe (TH)KarlsruheGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-01815-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-01814-5
  • Online ISBN 978-3-642-01815-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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