Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014)

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dc.contributor.authorFischer, Fabian
dc.contributor.authorStoffel, Florian
dc.contributor.authorMittelstädt, Sebastian
dc.contributor.authorSchreck, Tobias
dc.contributor.authorKeim, Daniel A.
dc.date.accessioned2015-02-27T14:17:09Z
dc.date.available2015-02-27T14:17:09Z
dc.date.issued2014eng
dc.description.abstractGaining insights from different heterogeneous data sources is one of the biggest challenges in decision making support. The large volumes of data can only be combined by sophisticated automatic methods. However, unexpected patterns can only be identified with the help of human intuition. In this paper, we present our visual analytics work-flows and tools to process heterogeneous data such as social networks, text streams, and geo-temporal data. We apply these tools on the VAST Challenge data and present our findings and assumptions that we identified in our analysis.eng
dc.description.versionpublished
dc.identifier.doi10.1109/VAST.2014.7042537eng
dc.identifier.ppn44474343X
dc.identifier.urihttp://kops.uni-konstanz.de/handle/123456789/30123
dc.language.isoengeng
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dc.subject.ddc004eng
dc.titleUsing visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014)eng
dc.typeINPROCEEDINGSdeu
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@inproceedings{Fischer2014Using-30123,
  year={2014},
  doi={10.1109/VAST.2014.7042537},
  title={Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014)},
  isbn={978-1-4799-6227-3},
  publisher={IEEE},
  address={Piscataway, NJ},
  booktitle={2014 IEEE Conference on Visual Analytics Science and Technology (VAST) : Proceedings ; Paris, France, 9-14 October 2014},
  pages={301--302},
  editor={Min Chen ...},
  author={Fischer, Fabian and Stoffel, Florian and Mittelstädt, Sebastian and Schreck, Tobias and Keim, Daniel A.}
}
kops.citation.iso690FISCHER, Fabian, Florian STOFFEL, Sebastian MITTELSTÄDT, Tobias SCHRECK, Daniel A. KEIM, 2014. Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014). IEEE Conference on Visual Analytics Science and Technology (VAST), 2014. Paris, 9. Okt. 2014 - 14. Okt. 2014. In: MIN CHEN ..., , ed.. 2014 IEEE Conference on Visual Analytics Science and Technology (VAST) : Proceedings ; Paris, France, 9-14 October 2014. Piscataway, NJ: IEEE, 2014, pp. 301-302. ISBN 978-1-4799-6227-3. Available under: doi: 10.1109/VAST.2014.7042537deu
kops.citation.iso690FISCHER, Fabian, Florian STOFFEL, Sebastian MITTELSTÄDT, Tobias SCHRECK, Daniel A. KEIM, 2014. Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014). IEEE Conference on Visual Analytics Science and Technology (VAST), 2014. Paris, Oct 9, 2014 - Oct 14, 2014. In: MIN CHEN ..., , ed.. 2014 IEEE Conference on Visual Analytics Science and Technology (VAST) : Proceedings ; Paris, France, 9-14 October 2014. Piscataway, NJ: IEEE, 2014, pp. 301-302. ISBN 978-1-4799-6227-3. Available under: doi: 10.1109/VAST.2014.7042537eng
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source.title2014 IEEE Conference on Visual Analytics Science and Technology (VAST) : Proceedings ; Paris, France, 9-14 October 2014eng

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