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dc.contributor.authorKress, Moshe
dc.contributor.authorNevo, Yuval
dc.contributor.authorDimitrov, Nedialko B.
dc.date2016
dc.date.accessioned2016-07-27T16:26:02Z
dc.date.available2016-07-27T16:26:02Z
dc.date.issued2016
dc.identifier.citationDimitrov, Nedialko B., Moshe Kress, and Yuval Nevo. "Finding the needles in the haystack: efficient intelligence processing." Journal of the Operational Research Society 67.6 (2015): 801-812.en_US
dc.identifier.urihttp://hdl.handle.net/10945/49284
dc.descriptionThe article of record as published may be found at http://dx.doi.org/10.1057/jors.2015.84en_US
dc.description.abstractAs a result of communication technologies, the main intelligence challenge has shifted from collecting data to efficiently processing it so that relevant, and only relevant, information is passed on to intelligence analysts. We consider intelligence data intercepted on a social communication network. The social network includes both adversaries (eg terrorists) and benign participants. We propose a methodology for efficiently searching for relevant messages among the intercepted communications. Besides addressing a real and urgent problem that has attracted little attention in the open literature thus far, the main contributions of this paper are two-fold. First, we develop a novel knowledge accumulation model for intelligence processors, which addresses both the nodes of the social network (the participants) and its edges (the communications). Second, we propose efficient prioritization algorithms that utilize the processor’s accumulated knowledge. Our approach is based on methods from graphical models, social networks, random fields, Bayesian learning, and exploration/exploitation algorithms.en_US
dc.format.extent12 p.en_US
dc.publisherOperational Research Society Ltd.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleFinding the needles in the haystack: efficient intelligence processingen_US
dc.typeArticleen_US
dc.contributor.corporateNaval Postgraduate School (U.S.)en_US
dc.contributor.departmentOperations Research (OR)en_US
dc.subject.authorintelligence processingen_US
dc.subject.authorknowledgeen_US
dc.subject.authorexplorationen_US
dc.subject.authorexploitationen_US


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