Donald Shemanski

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Data available for intelligence analysis is often incomplete, ambiguous and voluminous. Also, the data may be unorganized, the details overwhelming , and considerable analysis may be required to uncover adver-sarial activities. This paper describes a simulation-based approach that helps analysts understand data and use it to predict future events and(More)
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