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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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
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.
Subject Classification
Keywords
- algorithms
- information visualization
- scalability
- set visualization
- visual analytics
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