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Investigative Data Mining: Mathematical Models for Analyzing, Visualizing and Destabilizing Terrorist Networks

von Nasrullah Memon

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[1.] Nm/Fragment 200 01 - Diskussion
Zuletzt bearbeitet: 2012-04-29 22:07:49 Hindemith

Fragment, Gesichtet, Nm, SMWFragment, Schutzlevel sysop, Verschleierung, Xu and Chen 2005a

Untersuchte Arbeit: Seite: 200, Zeilen: 1-4	Quelle: Xu and Chen 2005a Seite(n): 106, Zeilen: right column 32-39
[The first stage of network analysis development is to automatically identify the] strongest association paths, or geodesics, between two or more network members. In practice, such a task often entails intelligence officials manually exploring links and trying to find association paths that might be useful for generating investigative leads.	The first stage of our network analysis development was intended to automatically identify the strongest association paths, or geodesics, between two or more network members using shortest-path algorithms. In practice, such a task often entails crime analysts to manually explore links and try to find association paths that might be useful for generating investigative leads.

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