Formal Concept Analysis

12th International Conference, ICFCA 2014, Cluj-Napoca, Romania, June 10-13, 2014. Proceedings

  • Cynthia Vera Glodeanu
  • Mehdi Kaytoue
  • Christian Sacarea
Conference proceedings ICFCA 2014

DOI: 10.1007/978-3-319-07248-7

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8478)

Table of contents

  1. Front Matter
  2. Invited Talks

  3. Theory

    1. Francisca García-Pardo, Inma P. Cabrera, Pablo Cordero, Manuel Ojeda-Aciego, Francisco J. Rodríguez-Sanchez
      Pages 67-79
    2. Sebastian Kerkhoff, Friedrich Martin Schneider
      Pages 80-95
  4. Enhanced FCA

    1. Xavier Dolques, Kartick Chandra Mondal, Agnés Braud, Marianne Huchard, Florence Le Ber
      Pages 112-127
    2. Cynthia Vera Glodeanu, Jan Konecny
      Pages 128-140
  5. Knowledge Discovery and Knowledge Spaces

    1. Immanuel Albrecht, Hermann Körndle
      Pages 141-156
    2. Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli
      Pages 157-172
    3. Bernhard Ganter, Cynthia Vera Glodeanu
      Pages 173-187
  6. Methods and Applications

    1. Rakesh Agrawal, Maria Christoforaki, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi, Adith Swaminathan
      Pages 219-234
    2. François Coste, Gaëlle Garet, Agnès Groisillier, Jacques Nicolas, Thierry Tonon
      Pages 235-250

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 12th International Conference on Formal Concept Analysis, ICFCA 2014, held in Cluj-Napoca, Romania, in June 2014.

The 16 regular papers presented together with 3 invited talks were carefully reviewed and selected from 39 submissions. The papers in this volume cover a rich range of FCA aspects, such as theory, enhanced FCA.
knowledge discovery and knowledge spaces, as well as methods and applications. In addition the book contains a reprint of the first publication "Subdirect decomposition of concept lattices" by Rudolf Wille.

Keywords

FCA concept hierarchy context data mining formal concept analysis knowledge discovery knowledge representation lattice theory machine learning order theory

Editors and affiliations

  • Cynthia Vera Glodeanu
    • 1
  • Mehdi Kaytoue
    • 2
  • Christian Sacarea
    • 3
  1. 1.Technische Universität DresdenDresdenGermany
  2. 2.INSA-Lyon, CNRS, LIRIS UMR 5205LyonFrance
  3. 3.Babes-Bolyai UniversityClujRomania

Bibliographic information

  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-07247-0
  • Online ISBN 978-3-319-07248-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349