Visualising hierarchical associations

Authors:
Aaron Ceglar;John Roddick;Paul Calder;Chris Rainsford
Affiliations:
School of Informatics and Engineering, Flinders University of South Australia, Adelaide, Australia;School of Informatics and Engineering, Flinders University of South Australia, Adelaide, Australia;School of Informatics and Engineering, Flinders University of South Australia, Adelaide, Australia;School of Informatics and Engineering, Flinders University of South Australia, Adelaide, Australia and CSIRO Mathematical and Information Sciences, Canberra, Australia
Venue:
Knowledge and Information Systems
Year:
2005

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Abstract

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.