Visual Integration of Meteorological and Sensor Data for Identifying Suspicious Company Behavior

dc.contributor.authorSeebacher, Daniel
dc.contributor.authorSchneider, Bruno
dc.contributor.authorBehrisch, Michael
dc.date.accessioned2019-02-01T13:38:01Z
dc.date.available2019-02-01T13:38:01Z
dc.date.issued2017eng
dc.description.abstractWe present an approach developed in course of the VAST 2017 Mini-Challenge 2. To help the ornithologist Mitch to investigate the noxious gases emitted by the four companies south of the nature preserve, we employ a combination of interactive visualizations that allow for an exploration of the data. In this paper, we present our visual-interactive approach for analyzing suspicious patterns in the data. By taking the wind data into consideration, as well, our approach allows the retrieval of patterns in the chemical releases and identify key polluters.eng
dc.description.versionpublishedeng
dc.identifier.doi10.1109/VAST.2017.8585436eng
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/44808
dc.language.isoengeng
dc.subject.ddc004eng
dc.titleVisual Integration of Meteorological and Sensor Data for Identifying Suspicious Company Behavioreng
dc.typeINPROCEEDINGSeng
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@inproceedings{Seebacher2017Visua-44808,
  year={2017},
  doi={10.1109/VAST.2017.8585436},
  title={Visual Integration of Meteorological and Sensor Data for Identifying Suspicious Company Behavior},
  isbn={978-1-5386-3163-8},
  publisher={IEEE},
  address={Piscataway, NJ},
  booktitle={2017 IEEE Conference on Visual Analytics Science and Technology (VAST), Proceedings},
  pages={225--226},
  editor={Fisher, Brian and Liu, Shixia and Schreck, Tobias},
  author={Seebacher, Daniel and Schneider, Bruno and Behrisch, Michael}
}
kops.citation.iso690SEEBACHER, Daniel, Bruno SCHNEIDER, Michael BEHRISCH, 2017. Visual Integration of Meteorological and Sensor Data for Identifying Suspicious Company Behavior. 2017 IEEE Conference on Visual Analytics Science and Technology (VAST). Phoenix, AZ, 3. Okt. 2017 - 6. Okt. 2017. In: FISHER, Brian, ed., Shixia LIU, ed., Tobias SCHRECK, ed.. 2017 IEEE Conference on Visual Analytics Science and Technology (VAST), Proceedings. Piscataway, NJ: IEEE, 2017, pp. 225-226. ISBN 978-1-5386-3163-8. Available under: doi: 10.1109/VAST.2017.8585436deu
kops.citation.iso690SEEBACHER, Daniel, Bruno SCHNEIDER, Michael BEHRISCH, 2017. Visual Integration of Meteorological and Sensor Data for Identifying Suspicious Company Behavior. 2017 IEEE Conference on Visual Analytics Science and Technology (VAST). Phoenix, AZ, Oct 3, 2017 - Oct 6, 2017. In: FISHER, Brian, ed., Shixia LIU, ed., Tobias SCHRECK, ed.. 2017 IEEE Conference on Visual Analytics Science and Technology (VAST), Proceedings. Piscataway, NJ: IEEE, 2017, pp. 225-226. ISBN 978-1-5386-3163-8. Available under: doi: 10.1109/VAST.2017.8585436eng
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source.title2017 IEEE Conference on Visual Analytics Science and Technology (VAST), Proceedingseng

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