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;
