Maximizing Behavior Analysis with Massive Multi-Sensor Networks
The demand for mission-critical, real-time information is exploding in the Intelligence Community. With sensors becoming increasingly sophisticated, inexpensive, and interconnected, the response to this demand is coming in the form of massive multi-sensor networks. While such systems tantalize us with the ever-increasing potential for analytical omniscience, the reality is that analysts and decision-makers are overwhelmed by the large data sets being generated. This paper, published in the April 2012 issue of IQT Quarterly, presents a path toward effectively transforming the exponential growth in data streams into an asset for analysts through automated suggestions of future outcomes and behavioral intent.
Authored by: Serge Olszanskyj, Ph.D., IEM Computational Scientist
Date: 06-2012
