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dc.contributor.advisorDimitrov, Nedialko B.
dc.contributor.authorDuncan, Ellis, R.
dc.dateSep-13
dc.date.accessioned2013-11-20T23:36:05Z
dc.date.available2013-11-20T23:36:05Z
dc.date.issued2013-09
dc.identifier.urihttp://hdl.handle.net/10945/37621
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractModern intelligence techniques have drastically increased the rate at which communications data can be intercepted. The increased ability to collect and store this data poses a significant processing problem for intelligence agencies. We develop a software library, implementing a previously developed mathematical model of the information selection problem facing these agencies: given a time constraint, which items should be screened in order to maximize the relevant information obtained. Using our software, we analyze the performance of several screening strategies on a variety of representative intercepted intelligence networks, which we construct using real world data sets. We show the model consistently outperforms more naive approaches on networks with clusters of relevant sources, and highlight the importance of exploration in robust screening strategies.en_US
dc.description.urihttp://archive.org/details/algorithmsforeff1094537621
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleAlgorithms for efficient intelligence collectionen_US
dc.typeThesisen_US
dc.contributor.secondreaderKress, Moshe
dc.contributor.departmentOperations Research
dc.subject.authorAnalysis of algorithms, intelligence collection, graphical models, Bayesian inference, Markov random fields, networksen_US
dc.description.recognitionOutstanding Thesisen_US
dc.description.serviceLieutenant Commander, United States Navyen_US
etd.thesisdegree.nameMaster Of Science In Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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