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B. Alsallakh, L. Micallef, W. Aigner, H. Hauser, S. Miksch, P. Rodgers:
"Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges";
Keynote Lecture: Eurographics Conference on Visualization, Swansea, UK; 2014-06-09 - 2014-06-13; in: "Eurographics Conference on Visualization - State of The Art Reports", R. Borgo, R. Maciejewski, I. Viola (ed.); Eurographics, (2014), 1 - 21.

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

set visualization; set-typed data; state-of-the-art

http://dx.doi.org/10.2312/eurovisstar.20141170

http://publik.tuwien.ac.at/files/PubDat_228538.pdf

Project Head Silvia Miksch:
CVAST: Centre for Visual Analytics Science and Technology (Laura Bassi Centre of Expertise)