DocumentCode
17106
Title
Clique: Situational Awareness through Behavior
Author
Best, Daniel M. ; Cox, B. Ann
Volume
17
Issue
4
fYear
2015
fDate
July-Aug. 2015
Firstpage
66
Lastpage
68
Abstract
Clique, a visual analytic environment for transactional data, uses statistical behavior models to highlight anomalies. By leveraging a behavioral algorithm, Clique can help data analysts gain awareness into large, time-varying, and streaming datasets such as network flow. Through behavioral- and anomaly-detection techniques, applications provide insight into the nature of activity through visual representations of typical and atypical patterns. Insight gained via behavior algorithms can then act as jump-off points into further investigation.
Keywords
data analysis; data visualisation; statistical analysis; Clique visual analytic environment; anomaly-detection techniques; behavioral algorithm; behavioral-detection techniques; pattern representation; situational awareness; statistical behavior models; transactional data; visual representation; Advertising; Data models; Data visualization; Electronic mail; Facsimile; Terrorism; US Government; behavioral algorithms; data analysis; transactional data;
fLanguage
English
Journal_Title
IT Professional
Publisher
ieee
ISSN
1520-9202
Type
jour
DOI
10.1109/MITP.2015.57
Filename
7160877
Link To Document