Solving problems with visual analytics

Kurzanzeige
dc.contributor.authorKohlhammer, Jörndeu
dc.contributor.authorKeim, Daniel A.
dc.contributor.authorPohl, Margitdeu
dc.contributor.authorSantucci, Giuseppedeu
dc.contributor.authorAndrienko, Gennadydeu
dc.date.accessioned2012-05-22T09:02:42Zdeu
dc.date.available2012-05-22T09:02:42Zdeu
dc.date.issued2011
dc.description.abstractVisual analytics is an emerging research discipline aiming at making the best possible use of huge information loads in a wide variety of applications by appropriately combining the strengths of intelligent automatic data analysis with the visual perception and analysis capabilities of the human user. The major goal of visual analytics is the integration of these disciplines into visual analytics to acquire well-established and agreed upon concepts and theories, combining scientific breakthroughs in a single discipline to have a potential impact on visual analytics and vice versa. In a session at FET’11, the leaders of the thematic working groups of the recently finalised FET Open coordination action VisMaster CA presented the scientific challenges that were identified in the visual analytics research roadmap, and the connection between the various disciplines and the broader vision of visual analytics. This article contains excerpts from this research roadmap to motivate further research in this direction within FET.eng
dc.description.versionpublished
dc.identifier.citationProcedia computer science : Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11) ; 7 (2011). - S. 117-120deu
dc.identifier.doi10.1016/j.procs.2011.12.035deu
dc.identifier.ppn408056460deu
dc.identifier.urihttp://kops.uni-konstanz.de/handle/123456789/19327
dc.language.isoengdeu
dc.legacy.dateIssued2012-05-22deu
dc.rightsterms-of-usedeu
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/deu
dc.subjectvisual analyticsdeu
dc.subjectresearch roadmapdeu
dc.subjectinformation visualisationdeu
dc.subjectData miningdeu
dc.subjectdata managementdeu
dc.subjectcognitive sciencedeu
dc.subjectgeo-visual analyticsdeu
dc.subject.ddc004deu
dc.titleSolving problems with visual analyticseng
dc.typeJOURNAL_ARTICLE
dspace.entity.typePublication
kops.citation.bibtex
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  year={2011},
  doi={10.1016/j.procs.2011.12.035},
  title={Solving problems with visual analytics},
  volume={7},
  issn={1877-0509},
  journal={Procedia Computer Science},
  pages={117--120},
  author={Kohlhammer, Jörn and Keim, Daniel A. and Pohl, Margit and Santucci, Giuseppe and Andrienko, Gennady}
}
kops.citation.iso690KOHLHAMMER, Jörn, Daniel A. KEIM, Margit POHL, Giuseppe SANTUCCI, Gennady ANDRIENKO, 2011. Solving problems with visual analytics. 2nd European Future Technologies Conference and Exhibition, 2011. In: Procedia Computer Science. 2011, 7, pp. 117-120. ISSN 1877-0509. Available under: doi: 10.1016/j.procs.2011.12.035deu
kops.citation.iso690KOHLHAMMER, Jörn, Daniel A. KEIM, Margit POHL, Giuseppe SANTUCCI, Gennady ANDRIENKO, 2011. Solving problems with visual analytics. 2nd European Future Technologies Conference and Exhibition, 2011. In: Procedia Computer Science. 2011, 7, pp. 117-120. ISSN 1877-0509. Available under: doi: 10.1016/j.procs.2011.12.035eng
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kops.sourcefieldProcedia Computer Science. 2011, <b>7</b>, pp. 117-120. ISSN 1877-0509. Available under: doi: 10.1016/j.procs.2011.12.035deu
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kops.title.conference2nd European Future Technologies Conference and Exhibition
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