© 2012

Bisociative Knowledge Discovery

An Introduction to Concept, Algorithms, Tools, and Applications

  • Michael R. Berthold
  • Presents the highlights of the BISON project

  • Serves as a great basis for future work in data mining

Open Access

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7250)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 7250)

Table of contents

  1. Front Matter
  2. Bisociation

    1. Michael R. Berthold
      Pages 1-10 Open Access
    2. Werner Dubitzky, Tobias Kötter, Oliver Schmidt, Michael R. Berthold
      Pages 11-32 Open Access
    3. Tobias Kötter, Michael R. Berthold
      Pages 33-50 Open Access
  3. Representation and Network Creation

    1. Christian Borgelt
      Pages 51-53 Open Access
    2. Marc Segond, Christian Borgelt
      Pages 54-65 Open Access
    3. Matjaž Juršič, Borut Sluban, Bojan Cestnik, Miha Grčar, Nada Lavrač
      Pages 66-90 Open Access
    4. Teemu Hynönen, Sébastien Mahler, Hannu Toivonen
      Pages 91-103 Open Access
    5. Marc Segond, Christian Borgelt
      Pages 104-121 Open Access
    6. Angelika Kimmig, Esther Galbrun, Hannu Toivonen, Luc De Raedt
      Pages 122-143 Open Access
  4. Network Analysis

    1. Hannu Toivonen
      Pages 144-146 Open Access
    2. Anton Dries, Siegfried Nijssen, Luc De Raedt
      Pages 147-165 Open Access
    3. Fang Zhou, Sébastien Mahler, Hannu Toivonen
      Pages 166-178 Open Access
    4. Fang Zhou, Sébastien Mahler, Hannu Toivonen
      Pages 179-198 Open Access
    5. Hannu Toivonen, Fang Zhou, Aleksi Hartikainen, Atte Hinkka
      Pages 199-217 Open Access
    6. Laura Langohr, Hannu Toivonen
      Pages 218-229 Open Access
    7. Tobias Kötter, Michael R. Berthold
      Pages 230-245 Open Access
    8. Kilian Thiel, Michael R. Berthold
      Pages 246-262 Open Access
    9. Uwe Nagel, Kilian Thiel, Tobias Kötter, Dawid Piątek, Michael R. Berthold
      Pages 263-284 Open Access
  5. Exploration

    1. Andreas Nürnberger
      Pages 285-286 Open Access

About this book


Modern knowledge discovery methods enable users to discover complex patterns of various types in large information repositories. However, the underlying assumption has always been that the data to which the methods are applied originates from one domain.


The focus of this book, and the BISON project from which the contributions originate, is a network-based integration of various types of data repositories and the development of new ways to analyse and explore the resulting gigantic information networks. Instead of seeking well-defined global or local patterns, the aim was to find domain-bridging associations. These are particularly interesting if they are sparse and have not been encountered before.


The 32 contributions presented in this state-of-the-art survey, together with a detailed introduction to the book, are organized in topical sections on bisociation; representation and network creation; network analysis; exploration; and applications and evaluation.



adaptive similarity bridging concept identification ensemble heuristics recommendation usability evaluation

Editors and affiliations

  • Michael R. Berthold
    • 1
  1. 1.Department of Computer and Information ScienceUniversity of KonstanzKonstanzGermany

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