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Scalable Set Visualizations (Dagstuhl Seminar 17332)

Authors Yifan Hu, Luana Micallef, Martin Nöllenburg, Peter Rodgers and all authors of the abstracts in this report

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DagRep.7.8.1.pdf
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Keywords
  • algorithms
  • information visualization
  • scalability
  • set visualization
  • visual analytics

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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.

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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

Author Details

Yifan Hu
Luana Micallef
Martin Nöllenburg
Peter Rodgers
and all authors of the abstracts in this report
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