Using visual analytics to provide situation awareness for movement and communication data

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 th...

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Vydané v:2015 IEEE Conference on Visual Analytics Science and Technology (VAST) s. 121 - 122
Hlavní autori: Buchmuller, Juri, Fischer, Fabian, Streeb, Dirk, Keim, Daniel A.
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.10.2015
Predmet:
Context
Data analysis
Data visualization
Electronic mail
H.2.8 [Database Management]: Database Applications—Data mining
H.5.2 [Information Interfaces]: User Interfaces—Graphical user interfaces (GUI)
Heating
Visual analytics
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Popis
Shrnutí: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.
DOI:10.1109/VAST.2015.7347640