The State‐of‐the‐Art of Set Visualization

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Date
2016
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Copyright © 2016 The Eurographics Association and John Wiley & Sons Ltd.
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 .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.
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@article{
10.1111:cgf.12722
, journal = {Computer Graphics Forum}, title = {{
The State‐of‐the‐Art of Set Visualization
}}, author = {
Alsallakh, Bilal
and
Micallef, Luana
and
Aigner, Wolfgang
and
Hauser, Helwig
and
Miksch, Silvia
and
Rodgers, Peter
}, year = {
2016
}, publisher = {
Copyright © 2016 The Eurographics Association and John Wiley & Sons Ltd.
}, DOI = {
10.1111/cgf.12722
} }
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