Bisociative Discovery of Interesting Relations between Domains

  • Uwe Nagel
  • Kilian Thiel
  • Tobias Kötter
  • Dawid Piątek
  • Michael R. Berthold
Conference paper

DOI: 10.1007/978-3-642-24800-9_29

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7014)
Cite this paper as:
Nagel U., Thiel K., Kötter T., Piątek D., Berthold M.R. (2011) Bisociative Discovery of Interesting Relations between Domains. In: Gama J., Bradley E., Hollmén J. (eds) Advances in Intelligent Data Analysis X. IDA 2011. Lecture Notes in Computer Science, vol 7014. Springer, Berlin, Heidelberg

Abstract

The discovery of surprising relations in large, heterogeneous information repositories is gaining increasing importance in real world data analysis. If these repositories come from diverse origins, forming different domains, domain bridging associations between otherwise weakly connected domains can provide insights into the data that can otherwise not be accomplished. In this paper, we propose a first formalization for the detection of such potentially interesting, domain-crossing relations based purely on structural properties of a relational knowledge description.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Uwe Nagel
    • 1
  • Kilian Thiel
    • 1
  • Tobias Kötter
    • 1
  • Dawid Piątek
    • 1
  • Michael R. Berthold
    • 1
  1. 1.Nycomed-Chair for Bioinformatics and Information Mining Dept. of Computer and Information ScienceUniversity of KonstanzGermany

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