Alsallakh, B., Micallef, L., Aigner, W., Hauser, H., Miksch, S., & Rodgers, P. (2014). Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges. In R. Borgo, R. Maciejewski, & I. Viola (Eds.), Eurographics Conference on Visualization - State of The Art Reports (pp. 1–21). Eurographics. https://doi.org/10.2312/eurovisstar.20141170
Eurographics Conference on Visualization - State of The Art Reports
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ISBN:
978-3-03868-028-4
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Date (published):
2014
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Event name:
Eurographics Conference on Visualization
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Event date:
9-Jun-2014 - 13-Jun-2014
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Event place:
Swansea, UK, EU
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Number of Pages:
21
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Publisher:
Eurographics
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Publisher:
The Eurographics Association
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Keywords:
set visualization; set-typed data; state-of-the-art
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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 these challenges
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Project title:
CVAST: Centre for Visual Analytics Science and Technology (Laura Bassi Centre of Expertise)
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Research Areas:
Business Informatics: 10% Visual Computing and Human-Centered Technology: 70% Logic and Computation: 20%
