Alsallakh, Bilal, Micallef, Luana, Aigner, Wolfgang, Hauser, Helwig, Miksch, Silvia, Rodgers, Peter (2016) The State-of-the-Art of Set Visualization. Computer Graphics Forum, 35 (1). pp. 234-260. ISSN 1467-8659. (doi:10.1111/cgf.12722) (KAR id:52106)
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Official URL: http://dx.doi.org/10.1111/cgf.12722 |
Abstract
Sets comprise a generic data model that has been used in a variety of data analysis problems. Such problems involve analysing and visualizing set relations between multiple sets defined over the same collection of elements. However, 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 six 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 these challenges. Further resources on set visualization are available at http://www.setviz.net.
Item Type: | Article |
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DOI/Identification number: | 10.1111/cgf.12722 |
Uncontrolled keywords: | information visualization, visualization, H.5.2 [Information Interfaces and Presentation]: User Interfaces—Graphical user interfaces, F.4.1 [Theory of Computation]: Mathematical Logic—Set theory |
Subjects: | Q Science > QA Mathematics (inc Computing science) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Peter Rodgers |
Date Deposited: | 20 Nov 2015 09:00 UTC |
Last Modified: | 05 Nov 2024 10:38 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/52106 (The current URI for this page, for reference purposes) |
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