Using visual analytics to provide situation awareness for movement and communication data
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Analyzing and correlating movement and communication data is challenging. To gather insights and gain knowledge out of such datasets, we propose a visual analytics system. We apply automated clustering techniques and propose a combination of various visualizations to provide overviews. We support the analyst in exploring the data to eventually enhance situational awareness in complex analysis scenarios. To evaluate our approach, we apply our techniques in the context of the VAST 2015 Grand Challenge (GC). Within this challenge, we successfully identify suspicious patterns and interesting groups of distinctive behavior among visitors of an amusement park, and correlate them with their respective communication patterns to gain insights.
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BUCHMÜLLER, Juri F., Fabian FISCHER, Dirk STREEB, Daniel A. KEIM, 2015. Using visual analytics to provide situation awareness for movement and communication data. IEEE Conference on Visual Analytics Science and Technology (VAST). Chicago, IL, USA, 25. Okt. 2015 - 30. Okt. 2015. In: CHEN, Min, ed. and others. 2015 IEEE Conference on Visual Analytics Science and Technology : Proceedings : Chicago, Illinois, USA, 25-30 October 2015. Piscataway, NJ: IEEE, 2015, pp. 121-122. ISBN 978-1-4673-9783-4. Available under: doi: 10.1109/VAST.2015.7347640BibTex
@inproceedings{Buchmuller2015-10Using-33499, year={2015}, doi={10.1109/VAST.2015.7347640}, title={Using visual analytics to provide situation awareness for movement and communication data}, isbn={978-1-4673-9783-4}, publisher={IEEE}, address={Piscataway, NJ}, booktitle={2015 IEEE Conference on Visual Analytics Science and Technology : Proceedings : Chicago, Illinois, USA, 25-30 October 2015}, pages={121--122}, editor={Chen, Min}, author={Buchmüller, Juri F. and Fischer, Fabian and Streeb, Dirk and Keim, Daniel A.} }
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