Provided by: SOAR Network B.V.
Topic: Data Management
Analysts in many areas of national security face a massive (high volume), dynamically changing (high velocity) flood of possibly relevant information. Identifying reasonable suspects confronts a tension between data that is too atomic to be diagnostic and knowledge that is too complex to guide search. D2REEM (Dynamic Data Relevance Estimation by Exploring Models) is a knowledge-based meta heuristic that uses stochastic search of a graph-based semantic model to guide successive queries of high-volume and high-velocity data.