DocumentCode
2796258
Title
Visualizing large scale patterns and anomalies in geospatial data: VAST 2012 Mini Challenge #1 award: Honorable mention for good visual design
Author
Stark, Robert F. ; Wollocko, Arthur ; Borys, Michael ; Kierstead, Megan ; Farry, Michael
Author_Institution
Charles River Analytics Inc.
fYear
2012
fDate
14-19 Oct. 2012
Firstpage
271
Lastpage
272
Abstract
The Charles River Analytics solution to the VAST 2012 MiniChallenge 1 quickly gives a user insight into the overall health of a large computer network across the entire globe while simultaneously highlighting anomalies in the data that could indicate security threats. The interface is designed to convey geospatial and more detailed information without cognitive overload and to allow the user to quickly delve into details of anomalies as they discover them. Using an in-house application framework, we designed a single, integrated display that uses innovative geospatial visualization and data analysis tools to allow users to quickly and accurately understand overall system health and anomalies with minimal cognitive load.
Keywords
Big data; clustering; data visualization; decision making; geospatial displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on
Conference_Location
Seattle, WA
Print_ISBN
978-1-4673-4752-5
Type
conf
DOI
10.1109/VAST.2012.6400521
Filename
6400521
Link To Document