Dynamic Data Relevance Estimation by Exploring Models (D2REEM)

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.

Provided by: SOAR Network B.V. Topic: Data Management Date Added: Nov 2013 Format: PDF

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