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IFIP Advances in Information and Communication Technology
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 adversarial activities. This paper describes a simulation-based approach that helps analysts understand data and use it to predict future events and possible scenarios. In particular, the approach enables intelligence analysts to find, display and understand data relationships by connecting thedoi:10.1007/978-3-642-24864-1_14 fatcat:543hjvknn5cnppeq5nvmg6yamy