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Discovering Collocation Rules and Spatial Association Rules in Spatial Data with Extended Objects Using Delaunay Diagrams

  • Robert Bembenik
  • Aneta Ruszczyk
  • Grzegorz Protaziuk
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8537)

Abstract

The paper illustrates issues related to mining spatial association rules and collocations. In particular it presents a new method of mining spatial association rules and collocations in spatial data with extended objects using Delaunay diagrams. The method does not require previous knowledge of analyzed data nor specifying any space-related input parameters and is efficient in terms of execution times.

Keywords

extended objects spatial collocations Delaunay diagram spatial data mining 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Robert Bembenik
    • 1
  • Aneta Ruszczyk
    • 2
  • Grzegorz Protaziuk
    • 1
  1. 1.Institute of Computer ScienceWarsaw University of TechnologyWarszawaPoland
  2. 2.ATOSWarszawaPoland

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