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.
@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} }
Feedback for Dagstuhl Publishing