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Heuristic Methods for Automating Event Detection on Sensor Data in Near Real-Time
September 2010
Daniel Mauer, The MITRE Corporation
Barry Lai, The MITRE Corporation
Jennifer Casper, The MITRE Corporation
Peter Leveille, The MITRE Corporation
Jing Hu, The MITRE Corporation
Ronald Albuquerque, The MITRE Corporation
Eddy Cheung, The MITRE Corporation
ABSTRACT
Moving Target Indicator (MTI) analysts in the field are responsible for processing the increasing amounts of live
streaming data. Analysts manually access unique data sources through a set of tools, and perform analysis on the available data. Operationally, analysts can only concentrate on small areas of interest and are subject to attentional blindness. Abnormalities in the periphery are often not detected until the forensic stage. Analysts are in need of assistance in performing data analysis.
This paper presents the implementation of a heuristic-based stream mining approach for cueing the analyst user on patterns
in near real-time.
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