Formal Concept Analysis

1. Front Matter

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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

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.

• computational complexity
• formal concept analysis
• knowledge extraction
• parallel algorithms
• semantic Web

• Computer Science Department, University of Nicosia, Nicosia, Cyprus

  Florent Domenach

• Higher School of Economics, National Research University, Moscow, Russia

  Dmitry I. Ignatov

• Faculty of Business and Economics, Katholieke Universiteit Leuven, Leuven, Belgium

  Jonas Poelmans

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