<div class="csl-bib-body">
<div class="csl-entry">Hu, Y., Micallef, L., Nöllenburg, M., & Rodgers, P. (Eds.). (2018). <i>Scalable Set Visualizations (Dagstuhl Seminar 17332)</i>. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany. https://doi.org/10.4230/DagRep.7.8.1</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/24488
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dc.description.abstract
This report documents the program and outcomes of Dagstuhl Seminar 17332 "Scalable Set Visu- alizations", 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.
en
dc.publisher
Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany
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dc.relation.ispartofseries
Dagstuhl Reports
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dc.subject
algorithms
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dc.subject
information visualization
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dc.subject
scalability
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dc.subject
set visualization
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dc.subject
visual analytics
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dc.title
Scalable Set Visualizations (Dagstuhl Seminar 17332)
en
dc.type
Konferenzband
de
dc.type
Proceedings
en
dc.relation.issn
2192-5283
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dc.type.category
Full Paper Book
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tuw.relation.ispartofseries
Dagstuhl Reports
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tuw.publication.orgunit
E192-01 - Forschungsbereich Algorithms and Complexity
