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|a 10.1007/s10940-019-09421-0
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|a Semmelbeck, Julia
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|a Semmelbeck, Julia 1986-
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|a Exploring the Determinants of Crime-Terror Cooperation using Machine Learning
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|c 2020
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|a This study seeks to further strengthen extant knowledge regarding terrorist group involvement in organized criminal activity through two means. First, it measures a set of environmental and organizational characteristics for a sample of well-known terrorist organizations based on the crime-terror literature. Second, it illustrates the utility of inductive research designs for examining patterns in the criminal behavior of terrorist groups for theory building and the potential risk classification of new terrorist organizations in the future.
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|a machine learning
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|a Organized Crime
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|a Terrorism
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|a Besaw, Clayton
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|i Enthalten in
|t Journal of quantitative criminology
|d Getzville, NY : HeinOnline, 1985
|g 36(2020), 3, Seite 527-558
|h Online-Ressource
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|w (DE-600)2017241-2
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|u http://dx.doi.org/10.1007/s10940-019-09421-0
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