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Scalable Set Visualizations (Dagstuhl Seminar 17332)

Authors: Yifan Hu, Luana Micallef, Martin Nöllenburg, and Peter Rodgers

Published in: Dagstuhl Reports, Volume 7, Issue 8 (2018)

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.

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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)

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@Article{hu_et_al:DagRep.7.8.1,
  author =	{Hu, Yifan and Micallef, Luana and N\"{o}llenburg, Martin and Rodgers, Peter},
  title =	{{Scalable Set Visualizations (Dagstuhl Seminar 17332)}},
  pages =	{1--22},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{8},
  editor =	{Hu, Yifan and Micallef, Luana and N\"{o}llenburg, Martin and Rodgers, Peter},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.8.1},
  URN =		{urn:nbn:de:0030-drops-84274},
  doi =		{10.4230/DagRep.7.8.1},
  annote =	{Keywords: algorithms, information visualization, scalability, set visualization, visual analytics}
}

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Scalable Set Visualizations (Dagstuhl Seminar 17332)

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