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Formal Concept Analysis

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

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. Florent Domenach

    1. Computer Science Department, University of Nicosia, Nicosia, Cyprus

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  2. Dmitry I. Ignatov

    1. Higher School of Economics, National Research University, Moscow, Russia

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  3. Jonas Poelmans

    1. Faculty of Business and Economics, Katholieke Universiteit Leuven, Leuven, Belgium

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

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Conference proceedings info: ICFCA 2012.

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Table of contents (26 papers)

  1. Regular Papers

    1. Formal Concept Analysis as a Framework for Business Intelligence Technologies

      • Juraj Macko
      Pages 195-210

    2. Good Classification Tests as Formal Concepts

      • Xenia A. Naidenova
      Pages 211-226

    3. Modeling Preferences over Attribute Sets in Formal Concept Analysis

      • Sergei Obiedkov
      Pages 227-243

    4. Finding Top-N Colossal Patterns Based on Clique Search with Dynamic Update of Graph

      • Yoshiaki Okubo, Makoto Haraguchi
      Pages 244-259

    5. Quantitative Concept Analysis

      • Dusko Pavlovic
      Pages 260-277

    6. Some Notes on Managing Closure Operators

      • Sebastian Rudolph
      Pages 278-291

    7. Distributed Formal Concept Analysis Algorithms Based on an Iterative MapReduce Framework

      • Biao Xu, Ruairí de Fréin, Eric Robson, Mícheál Ó Foghlú
      Pages 292-308

  2. Back Matter

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About this book

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.

Editors and Affiliations

  • 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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