Advertisement

Formal Concept Analysis

11th International Conference, ICFCA 2013, Dresden, Germany, May 21-24, 2013. Proceedings

  • Peggy Cellier
  • Felix Distel
  • Bernhard Ganter
Conference proceedings ICFCA 2013

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7880)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 7880)

Table of contents

  1. Front Matter
  2. Historic Paper

  3. Regular Contributions

    1. Jamal Atif, Isabelle Bloch, Felix Distel, Céline Hudelot
      Pages 28-43
    2. Anne Berry, Alain Sigayret
      Pages 44-59
    3. Adrien Coulet, Florent Domenach, Mehdi Kaytoue, Amedeo Napoli
      Pages 76-91
    4. Ruairí de Fréin
      Pages 92-108
    5. Cynthia Vera Glodeanu, Bernhard Ganter
      Pages 109-124
    6. Cynthia Vera Glodeanu
      Pages 125-140
    7. Lankun Guo, Qingguo Li, Petko Valtchev, Robert Godin
      Pages 141-155
    8. Juraj Macko
      Pages 156-171
    9. Jesús Medina-Moreno, Manuel Ojeda-Aciego, Jorge Ruiz-Calviño
      Pages 203-215
    10. Mohamed Rouane-Hacene, Marianne Huchard, Amedeo Napoli, Petko Valtchev
      Pages 228-243
    11. Christian Săcărea
      Pages 244-253
  4. Position Paper

  5. Back Matter

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 11th International Conference on Formal Concept Analysis, ICFCA 2013, held in Dresden, Germany, in May 2013. The 15 regular papers presented in this volume were carefully reviewed and selected from 46 submissions. The papers present current research from a thriving theoretical community and a rapidly expanding range of applications in information and knowledge processing including data visualization and analysis (mining), knowledge management, as well as Web semantics, and software engineering. In addition the book contains a reprint of the first publication in english describing the seminal stem-base construction by Guigues and Duquenne; and a position paper pointing out potential future applications of FCA.

Keywords

description logics fuzzy logic knowledge discovery ontology learning relational data

Editors and affiliations

  • Peggy Cellier
    • 1
  • Felix Distel
    • 2
  • Bernhard Ganter
    • 3
  1. 1.IRISARennesFrance
  2. 2.Computer Science DepartmentTU DresdenDresdenGermany
  3. 3.Department of MathematicsTU DresdenDresdenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-38317-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-38316-8
  • Online ISBN 978-3-642-38317-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Chemical Manufacturing
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Energy, Utilities & Environment
Aerospace
Engineering