Investigative Data Mining: Mathematical Models for Analyzing, Visualizing and Destabilizing Terrorist Networks
von Nasrullah Memon
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| [1.] Nm/Fragment 239 10 - Diskussion Zuletzt bearbeitet: 2012-05-01 08:02:39 Hindemith | Fragment, Gesichtet, Hamill 2006, Nm, SMWFragment, Schutzlevel sysop, Verschleierung |
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| These measures could be useful for law enforcement and intelligence agencies to disrupt the effective operation and growth of these networks or destroy some terrorist cells entirely. Although these adversaries can be affected in a number of ways, this research focuses upon capturing / eradicating a terrorist organization’s most influential persons or finding susceptible points of entry and conveying information or influence that contribute to winning the war against terrorism. This chapter provides a summary of methodological and practical contributions of this dissertation as well as recommendations for areas of future research. | Such opportunities lie within the ability to disrupt the effective operation and
growth of these networks, or destroy them entirely. Although these adversaries can be affected in a number of ways, this research focuses upon either removing or mitigating an organization’s most influential individuals, or finding susceptible points of entry and conveying information or influence that contributes to winning this war of ideas. This chapter provides a summary of the methodological and practical contributions of this dissertation, as well as recommendations for areas of future research. |
Even in the overview of the conclusions of the thesis there is copied text without referencing the original author. |
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Letzte Bearbeitung dieser Seite: durch Benutzer:Hindemith, Zeitstempel: 20120501080756
Letzte Bearbeitung dieser Seite: durch Benutzer:Hindemith, Zeitstempel: 20120501080756