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Alsallakh, Bilal; Micallef, Luana; Aigner, Wolfgang; Hauser, Helwig; Miksch, Silvia; Rodgers, Peter (2014)
Languages: English
Types: Unknown
Subjects: QA
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.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • (in 1994 and 1998) as well as his habilitation (in 2003).
    • Zemanek Award in computer science in 2006 and the Dirk
    • Bartz Prize for visual computing in medicine in 2013. Hel-
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