Knowledge and Information Systems

, Volume 8, Issue 3, pp 257–275 | Cite as

Visualising hierarchical associations

  • Aaron Ceglar
  • John RoddickEmail author
  • Paul Calder
  • Chris Rainsford


Recent association-mining research has led to the development of techniques that allow the accommodation of concept hierarchies within the mining process. This extension results in the discovery of rules which associate not only groups of items but which are also influenced by the hierarchies within which an item may reside. Given this, there then arises a need for techniques whereby such hierarchical associations can be presented to the user. Current association rule visualisation techniques are limited, as they do not effectively incorporate or enable the visualisation of hierarchical semantics. This paper presents a review of current hierarchical and association visualisation techniques and introduces a novel technique for visualising hierarchical association rules.


Knowledge discovery Association mining Visualisation Concept abstraction 


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Copyright information

© Springer-Verlag 2004

Authors and Affiliations

  • Aaron Ceglar
    • 1
  • John Roddick
    • 1
    Email author
  • Paul Calder
    • 1
  • Chris Rainsford
    • 1
    • 2
  1. 1.School of Informatics and EngineeringFlinders University of South AustraliaAdelaideAustralia
  2. 2.CSIRO Mathematical and Information SciencesCanberraAustralia

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