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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 039 01 - Diskussion
Zuletzt bearbeitet: 2012-06-25 09:38:38 WiseWoman
Fragment, Gesichtet, Nm, SMWFragment, Schutzlevel sysop, Verschleierung, Westphal and Blaxton 1998

Typus
Verschleierung
Bearbeiter
Graf Isolan
Gesichtet
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Untersuchte Arbeit:
Seite: 39, Zeilen: 1-20
Quelle: Westphal and Blaxton 1998
Seite(n): 201, Zeilen: 3-20
[Link analysis uses item-to-item associations to generate networks of interactions] and connections from defined datasets. The diagrams of link analysis have a variety of names ranging from entity-relationship diagrams and connected networks to nodes-and-links and directed graphs. The methods of link analysis add dimensions to an analysis that the other form of visualization do not support.

By explicitly representing relationships among objects, an entirely different perspective on how the data can be analysed and the types of patterns that can be discovered. Link analysis systems were initially used primarily in investigative world (e.g., law enforcement), but they have recently made significant inroads into a variety of commercial applications. One potential drawback of link analysis is that the aggregate number of data records that can be presented in most diagrams is somewhat limited, as compared to other visualization paradigms. As a result, the analyses tend to focus on verifying subsets of large datasets. Nevertheless, link analysis provides a powerful means of performing visual data mining, particularly if we know how to take advantage of layout options, filter assessments, and presentation formats. The link analysis systems allow the identification of patterns, emerging groups, and generational connections quickly.

Link analysis uses item-to item associations to generate networks of interactions and connections from defined data sets. Link analysis diagrams have a variety of names ranging from entity-relationship diagrams and connected networks to nodes-and-links and directed graphs. Link analysis methods let you add dimensions to an analysis that the other forms of visualization do not support. By explicitly representing relationships among objects you gain an entirely different perspective on how the data can be analyzed and the types of patterns that can be discovered. Link analysis systems were initially used primarily in the investigative world (e.g., law enforcement) but they have recently made significant inroads into a wide variety of commercial applications. One potential drawback of link analysis is that the aggregate number of data records that can be presented in most diagrams is somewhat limited, as compared to the other visualization paradigms. As a result, the analyses tend to focus on verifying subsets of large data sets. Nevertheless, link analysis provides a powerful means of performing visual data mining, particularly if you know how to take advantage of layout options, filter assessments, and presentation formats. Used properly, link analysis systems allow you to identify patterns, emerging groups, and generational connections quickly.
Anmerkungen

Only the slightest of changes, it is not marked as a citation, and no source is given

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(Graf Isolan) WiseWoman


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