RadialViz: An Orientation-Free Frequent Pattern Visualizer

  • Carson Kai-Sang Leung
  • Fan Jiang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7302)


Frequent pattern mining algorithms aim to find sets of frequently co-occurring items. Visual representation of the mining results is more comprehensible to users than the traditional long textual list of frequent patterns. Existing visualizers mostly show frequent patterns as graphs in a two-dimensional space with (x,y)-coordinates. Nowadays, in a collaborative environment, it is not uncommon for users to have face-to-face meetings when they show the graphs visualizing frequent patterns. In these situations, the viewing orientation of the graphs plays an important role as different orientations positively or negatively impact the graph legibility. A legible right-side-up graph to one user may become an illegible upside-down graph towards another user. In this paper, we propose a visualizer that uses a radial layout—which is orientation free—to show frequent patterns. Having such a visualizer is beneficial in the collaborative environment.


Visual data mining association analysis frequent itemsets human-machine interaction pattern discovery 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Carson Kai-Sang Leung
    • 1
  • Fan Jiang
    • 1
  1. 1.Department of Computer ScienceUniversity of ManitobaCanada

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