Heuristic Methods for Automating Event Detection on Sensor Data in Near Real-Time

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.