DagRep.7.8.1.pdf
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Scalable Set Visualizations (Dagstuhl Seminar 17332)
Authors and all authors of the abstracts in this report
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Part of:
Issue:
Dagstuhl Reports, Volume 7, Issue 8
Volume: Dagstuhl Reports, Volume 7
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2018-02-06
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Yifan Hu, Luana Micallef, Martin Nöllenburg, and Peter Rodgers. Scalable Set Visualizations (Dagstuhl Seminar 17332). In Dagstuhl Reports, Volume 7, Issue 8, pp. 1-22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/DagRep.7.8.1
https://doi.org/10.4230/DagRep.7.8.1
Abstract
This report documents the program and outcomes of Dagstuhl Seminar 17332 "Scalable Set Visualizations", which took place August 14--18, 2017. The interdisciplinary seminar brought together 26 researchers from different areas in computer science and beyond such as information visualization, human-computer interaction, graph drawing, algorithms, machine learning, geography, and life sciences. During the seminar we had five invited overview talks on different aspects of set visualizations as well as a few ad-hoc presentations of ongoing work. The abstracts of these talks are contained in this report. Furthermore, we formed five working groups, each of them discussing intensively about a selected open research problem that was proposed by the seminar participants in an open problem session. The second part of this report contains summaries of the groups' findings.
Keywords
- algorithms
- information visualization
- scalability
- set visualization
- visual analytics
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