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Formal Concept Analysis

10th International Conference, ICFCA 2012, Leuven, Belgium, May 7-10, 2012. Proceedings

  • Florent Domenach
  • Dmitry I. Ignatov
  • Jonas Poelmans
Conference proceedings ICFCA 2012

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7278)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 7278)

Table of contents

  1. Front Matter
    PDF

  2. Invited Talks

    1. Dark Web: Exploring and Mining the Dark Side of the Web
      Hsinchun Chen
      Pages 1-1
    2. Declarative Modeling for Machine Learning and Data Mining
      Luc De Raedt
      Pages 2-2
    3. Can Concepts Reveal Criminals?
      Paul Elzinga
      Pages 3-3
    4. Cartification: From Similarities to Itemset Frequencies
      Bart Goethals
      Pages 4-4
    5. Processes Are Concepts, Aren’t They?
      Ir. Edward Peters
      Pages 5-5
    6. Rough Sets and FCA – Scalability Challenges
      Dominik Ślęzak
      Pages 6-6

  3. Regular Papers

    1. Approximating Concept Stability
      Mikhail A. Babin, Sergei O. Kuznetsov
      Pages 7-15
    2. Logical Analysis of Concept Lattices by Factorization
      Eduard Bartl, Michal Krupka
      Pages 16-27
    3. Basic Level of Concepts in Formal Concept Analysis
      Radim Belohlavek, Martin Trnecka
      Pages 28-44
    4. A Peep through the Looking Glass: Articulation Points in Lattices
      Anne Berry, Alain Sigayret
      Pages 45-60
    5. Practical Use of Formal Concept Analysis in Service-Oriented Computing
      Stéphanie Chollet, Vincent Lestideau, Yoann Maurel, Etienne Gandrille, Philippe Lalanda, Olivier Raynaud
      Pages 61-76
    6. Publication Analysis of the Formal Concept Analysis Community
      Stephan Doerfel, Robert Jäschke, Gerd Stumme
      Pages 77-95
    7. Understanding the Semantic Structure of Human fMRI Brain Recordings with Formal Concept Analysis
      Dominik Endres, Ruth Adam, Martin A. Giese, Uta Noppeney
      Pages 96-111
    8. Cubes of Concepts: Multi-dimensional Exploration of Multi-valued Contexts
      Sébastien Ferré, Pierre Allard, Olivier Ridoux
      Pages 112-127
    9. Ordinal Factor Analysis
      Bernhard Ganter, Cynthia Vera Glodeanu
      Pages 128-139
    10. A Macroscopic Approach to FCA and Its Various Fuzzifications
      Tim B. Kaiser, Stefan E. Schmidt
      Pages 140-147
    11. A Connection between Clone Theory and FCA Provided by Duality Theory
      Sebastian Kerkhoff
      Pages 148-163
    12. Formal Concept Discovery in Semantic Web Data
      Markus Kirchberg, Erwin Leonardi, Yu Shyang Tan, Sebastian Link, Ryan K. L. Ko, Bu Sung Lee
      Pages 164-179
    13. Concept Lattices of Incomplete Data
      Michal Krupka, Jan Lastovicka
      Pages 180-194
    14. Formal Concept Analysis as a Framework for Business Intelligence Technologies
      Juraj Macko
      Pages 195-210
    15. Good Classification Tests as Formal Concepts
      Xenia A. Naidenova
      Pages 211-226
    16. Modeling Preferences over Attribute Sets in Formal Concept Analysis
      Sergei Obiedkov
      Pages 227-243
    17. Finding Top-N Colossal Patterns Based on Clique Search with Dynamic Update of Graph
      Yoshiaki Okubo, Makoto Haraguchi
      Pages 244-259
    18. Quantitative Concept Analysis
      Dusko Pavlovic
      Pages 260-277
    19. Some Notes on Managing Closure Operators
      Sebastian Rudolph
      Pages 278-291
    20. Distributed Formal Concept Analysis Algorithms Based on an Iterative MapReduce Framework
      Biao Xu, Ruairí de Fréin, Eric Robson, Mícheál Ó Foghlú
      Pages 292-308
  4. Back Matter
    PDF

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 10th International Conference on Formal Concept Analysis, ICFCA 2012, held in Leuven, Belgium in May 2012. The 20 revised full papers presented together with 6 invited talks were carefully reviewed and selected from 68 submissions. The topics covered in this volume range from recent advances in machine learning and data mining; mining terrorist networks and revealing criminals; concept-based process mining; to scalability issues in FCA and rough sets.

Keywords

computational complexity formal concept analysis knowledge extraction parallel algorithms semantic Web

Editors and affiliations

  • Florent Domenach
    • 1
  • Dmitry I. Ignatov
    • 2
  • Jonas Poelmans
    • 3
  1. 1.Computer Science DepartmentUniversity of NicosiaNicosiaCyprus
  2. 2.Higher School of EconomicsNational Research UniversityMoscowRussia
  3. 3.Faculty of Business and EconomicsKatholieke Universiteit LeuvenLeuvenBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-29892-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-29891-2
  • Online ISBN 978-3-642-29892-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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