License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.7.8.1
URN: urn:nbn:de:0030-drops-84274
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/8427/
Hu, Yifan ;
Micallef, Luana ;
Nöllenburg, Martin ;
Rodgers, Peter
Weitere Beteiligte (Hrsg. etc.): Yifan Hu and Luana Micallef and Martin Nöllenburg and Peter Rodgers
Scalable Set Visualizations (Dagstuhl Seminar 17332)
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 = {https://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: |
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algorithms, information visualization, scalability, set visualization, visual analytics |
Collection: |
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Dagstuhl Reports, Volume 7, Issue 8 |
Issue Date: |
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2018 |
Date of publication: |
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06.02.2018 |