© 2017

Formal Concept Analysis

14th International Conference, ICFCA 2017, Rennes, France, June 13-16, 2017, Proceedings

  • Karell Bertet
  • Daniel Borchmann
  • Peggy Cellier
  • Sébastien Ferré
Conference proceedings ICFCA 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10308)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10308)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Invited Contribution

    1. Front Matter
      Pages 1-1
    2. Bernhard Ganter, Michael Bedek, Jürgen Heller, Reinhard Suck
      Pages 3-19
  3. Historical Paper

    1. Front Matter
      Pages 21-21
    2. Bernhard Ganter, Rudolf Wille, Daniel Borchmann, Juliane Prochaska
      Pages 23-35
  4. Regular Contributions

    1. Front Matter
      Pages 37-37
    2. Daniel Borchmann, Tom Hanika, Sergei Obiedkov
      Pages 72-88
    3. Victor Codocedo, Guillaume Bosc, Mehdi Kaytoue, Jean-François Boulicaut, Amedeo Napoli
      Pages 106-121
    4. Sanda-Maria Dragoş, Christian Săcărea, Diana-Florina Şotropa
      Pages 122-137
    5. Francesco Kriegel
      Pages 168-183
    6. Tatiana Makhalova, Sergei O. Kuznetsov
      Pages 184-197
    7. Francisco José Valverde-Albacete, Carmen Peláez-Moreno
      Pages 211-227
    8. Jean-François Viaud, Karell Bertet, Rokia Missaoui, Christophe Demko
      Pages 228-241
  5. Back Matter
    Pages 243-243

About these proceedings


This book constitutes the proceedings of the 14th International Conference on Formal Concept Analysis, ICFCA 2017, held in Rennes, France, in June 2017. 
The 13 full papers presented in this volume were carefully reviewed and selected from 37 submissions. The book also contains an invited contribution and a historical paper translated from German and originally published in “Die Klassifkation und ihr Umfeld”, edited by P. O. Degens, H. J. Hermes, and O. Opitz, Indeks-Verlag, Frankfurt, 1986.
The field of Formal Concept Analysis (FCA) originated in the 1980s in Darmstadt as a subfield of mathematical order theory, with prior developments in other research groups. Its original motivation was to consider complete lattices as lattices of concepts, drawing motivation from philosophy and mathematics alike. FCA has since then developed into a wide research area with applications much beyond its original motivation, for example in logic, data mining, learning, and psychology.


formal concept analysis database systems information analysis concept lattices formal contexts machine learning systems knowledge representation software engineering data mining online learning algorithms unsupervised learning and clustering query learning logic and databases probabilistic algorithms relational database model uncertainty expert systems association rules

Editors and affiliations

  1. 1.Université de La RochelleLa RochelleFrance
  2. 2.Institute of Theoretical Computer ScienceTechnische Universität DresdenDresdenGermany
  3. 3.Université de RennesRennesFrance
  4. 4.Université de RennesRennesFrance

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