Skip to main content
Kent Academic Repository

Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges

Alsallakh, Bilal, Micallef, Luana, Aigner, Wolfgang, Hauser, Helwig, Miksch, Silvia, Rodgers, Peter (2014) Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges. In: Eurographics Conference on Visualization (EuroVis), June 2014, Swansea, Wales, UK. (KAR id:39007)

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 with these challenges.

Item Type: Conference or workshop item (Paper)
Additional information: Invited for submission to the Computer Graphics Forum (CGF) journal
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Luana Micallef
Date Deposited: 03 Apr 2014 13:39 UTC
Last Modified: 09 Dec 2022 06:57 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/39007 (The current URI for this page, for reference purposes)

University of Kent Author Information

Micallef, Luana.

Creator's ORCID:
CReDIT Contributor Roles:

Rodgers, Peter.

Creator's ORCID: https://orcid.org/0000-0002-4100-3596
CReDIT Contributor Roles:
  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.