Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges

Alsallakh, Bilal, Micallef, Luana, Aigner, Wolfgang, Hauser, Helwig, Miksch, Silvia, Rodgers, Peter (2014) Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges. In: Eurographics Conference on Visualization (EuroVis), June 2014, Swansea, Wales, UK.

Abstract

A variety of data analysis problems can be modelled by defining multiple sets over a collection of elements and analyzing the relations between these sets. Despite their simple concept, visualizing sets is a non-trivial problem due to the large number of possible relations between them. We provide a systematic overview of state-of-the-art techniques for visualizing different kinds of set relations. We classify these techniques into 7 main categories according to the visual representations they use and the tasks they support. We compare the categories to provide guidance for choosing an appropriate technique for a given problem. Finally, we identify challenges in this area that need further research and propose possible directions to address with these challenges.

Item Type:	Conference or workshop item (Paper)
Additional information:	Invited for submission to the Computer Graphics Forum (CGF) journal
Subjects:	Q Science > QA Mathematics (inc Computing science)
Divisions:	Faculties > Sciences > School of Computing > Computational Intelligence Group
Depositing User:	L. Micallef
Date Deposited:	03 Apr 2014 13:39 UTC
Last Modified:	29 May 2019 12:03 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/39007 (The current URI for this page, for reference purposes)