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URN: urn:nbn:de:0030-drops-84274
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Weitere Beteiligte (Hrsg. etc.): Yifan Hu and Luana Micallef and Martin Nöllenburg and Peter Rodgers

Scalable Set Visualizations (Dagstuhl Seminar 17332)

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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.

BibTeX - Entry

@Article{hu_et_al:DR:2018:8427,
  author =	{Yifan Hu and Luana Micallef and Martin N{\"o}llenburg and Peter Rodgers},
  title =	{{Scalable Set Visualizations (Dagstuhl Seminar 17332)}},
  pages =	{1--22},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{8},
  editor =	{Yifan Hu and Luana Micallef and Martin N{\"o}llenburg and Peter Rodgers},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/8427},
  URN =		{urn:nbn:de:0030-drops-84274},
  doi =		{10.4230/DagRep.7.8.1},
  annote =	{Keywords: algorithms, information visualization, scalability, set visualization, visual analytics}
}

Keywords: algorithms, information visualization, scalability, set visualization, visual analytics
Seminar: Dagstuhl Reports, Volume 7, Issue 8
Issue date: 2018
Date of publication: 2018


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