Search Results

Documents authored by Wrobel, Stefan

Document
DOI: 10.4230/DagRep.2.2.58
Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081)

Authors: Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, and Stefan Wrobel

Published in: Dagstuhl Reports, Volume 2, Issue 2 (2012)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 12081 ``Information Visualization, Visual Data Mining and Machine Learning''. The aim of the seminar was to tighten the links between the information visualisation community and the machine learning community in order to explore how each field can benefit from the other and how to go beyond current hybridization successes.
Cite as

Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, and Stefan Wrobel. Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). In Dagstuhl Reports, Volume 2, Issue 2, pp. 58-83, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)

Copy BibTex To Clipboard

@Article{keim_et_al:DagRep.2.2.58,
  author =	{Keim, Daniel A. and Rossi, Fabrice and Seidl, Thomas and Verleysen, Michel and Wrobel, Stefan},
  title =	{{Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081)}},
  pages =	{58--83},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2012},
  volume =	{2},
  number =	{2},
  editor =	{Keim, Daniel A. and Rossi, Fabrice and Seidl, Thomas and Verleysen, Michel and Wrobel, Stefan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.2.2.58},
  URN =		{urn:nbn:de:0030-drops-35064},
  doi =		{10.4230/DagRep.2.2.58},
  annote =	{Keywords: Information visualization, visual data mining, machine learning, nonlinear dimensionality reduction, exploratory data analysis}
}
Document
DOI: 10.4230/DagSemProc.10471.1
10471 Abstracts Collection – Scalable Visual Analytics

Authors: Daniel A. Keim and Stefan Wrobel

Published in: Dagstuhl Seminar Proceedings, Volume 10471, Scalable Visual Analytics (2011)

Abstract
From 21.11. to 26.11.2010, the Dagstuhl Seminar 10471 ``Scalable Visual Analytics'' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

Daniel A. Keim and Stefan Wrobel. 10471 Abstracts Collection – Scalable Visual Analytics. In Scalable Visual Analytics. Dagstuhl Seminar Proceedings, Volume 10471, pp. 1-16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)

Copy BibTex To Clipboard

@InProceedings{keim_et_al:DagSemProc.10471.1,
  author =	{Keim, Daniel A. and Wrobel, Stefan},
  title =	{{10471 Abstracts Collection – Scalable Visual Analytics}},
  booktitle =	{Scalable Visual Analytics},
  pages =	{1--16},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10471},
  editor =	{Daniel A. Keim and Stefan Wrobel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10471.1},
  URN =		{urn:nbn:de:0030-drops-29406},
  doi =		{10.4230/DagSemProc.10471.1},
  annote =	{Keywords: Visual Analytics, Visualization, Data Analysis, Discovery Science, Information Visualization}
}
Document
DOI: 10.4230/DagSemProc.10471.2
10471 Executive Summary – Scalable Visual Analytics

Authors: Daniel A. Keim and Stefan Wrobel

Published in: Dagstuhl Seminar Proceedings, Volume 10471, Scalable Visual Analytics (2011)

Abstract
The Scalable Visual Analytics seminar was a fertile meeting in which researchers from diverse backgrounds met. It included industry and academia, senior and junior researchers, multi-national representation, and people coming from several disciplines. The diversity resulted in interesting and useful discussions, which will help to shape the future of the versatile research area of Visual Analytics. The seminar included multiple presentations and discussions which helped to exchange domain knowledge and steer future research activities. Besides, several working groups during the seminar not only identified future research directions in the field of scalable visual analytics but also initiated new joint projects. In total, plans for three position papers, two overview papers to outreach to other communities, and three EU FET Open Projects were drafted. Furthermore, three workshops as satellites of conferences that cover specific application areas were planned to further disseminate the work and provide a platform for ongoing discussions and activities.
Cite as

Daniel A. Keim and Stefan Wrobel. 10471 Executive Summary – Scalable Visual Analytics. In Scalable Visual Analytics. Dagstuhl Seminar Proceedings, Volume 10471, pp. 1-5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)

Copy BibTex To Clipboard

@InProceedings{keim_et_al:DagSemProc.10471.2,
  author =	{Keim, Daniel A. and Wrobel, Stefan},
  title =	{{10471 Executive Summary – Scalable Visual Analytics}},
  booktitle =	{Scalable Visual Analytics},
  pages =	{1--5},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10471},
  editor =	{Daniel A. Keim and Stefan Wrobel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10471.2},
  URN =		{urn:nbn:de:0030-drops-29393},
  doi =		{10.4230/DagSemProc.10471.2},
  annote =	{Keywords: Visual Analytics, Visualization, Data Analysis, Discovery Science, Information Visualization}
}
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2024 Schloss Dagstuhl – LZI GmbH Imprint Privacy Contact