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Angaben zur Quelle [Bearbeiten]

Autor     Bhavani Thuraisingham
Titel    Chapter 3: Data Mining for Counter-Terrorism
Jahr    2003
Anmerkung    Year has been taken from PDF file properties: "Created: 20/10/2003 17:08:18"
URL    http://www.utdallas.edu/~jxr061100/paper-for-website/%5b18%5dMining-Terrorism-NGDM04.pdf

Literaturverz.   

no
Fußnoten    no
Fragmente    1


Fragmente der Quelle:
[1.] Nm2/Fragment 432 31 - Diskussion
Zuletzt bearbeitet: 2014-01-11 21:10:22 Hindemith
Fragment, Gesichtet, Nm2, SMWFragment, Schutzlevel sysop, Thuraisingham 2003, Verschleierung

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Hindemith
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Untersuchte Arbeit:
Seite: 432, Zeilen: 31-40
Quelle: Thuraisingham_2003
Seite(n): 213, 214, Zeilen: 213: 41-44; 214: 1-8
In the counterterrorism domain, much of the data could be classified. If we are to truly get the benefits of the techniques we need to test with actual data. But not all researchers have the clearances to work on classified data. The challenge is to find unclassified data that is, representative of the classified data. It is not straightforward to do this, as one has to make sure that all classified information, even through implications, is removed. Another alternative is to find as good data as possible in an unclassified setting for researchers to work on. However, the researchers have to work not only with counterterrorism experts but also with data mining specialists who have the clearances to work in classified environments. That is, the research carried out in an unclassified setting has to be transferred to a classified setting later to test the [applicability of data mining algorithms. Only then do we get the true benefit of investigative data mining.] [page 213]

However for the domain that we are considering much of the data could be classified. If we are to truly get the benefits of the techniques we need to test with actual data. But not all of the researchers have the clearances to work on classified data. The challenge is to find unclassified data that is a representative sample of the classified

[page 214]

data. It is not straightforward to do this, as one has to make sure that all classified information, even through implications, is removed. Another alternative is to find as good data as possible in an unclassified setting for the researchers to work on. However, the researchers have to work not only with counter-terrorism experts but also with data mining specialists who have the clearances to work in classified environments. That is, the research carried out in an unclassified setting has to be transferred to a classified setting later to test the applicability of the data mining algorithms. Only then can we get the true benefits of data mining.

Anmerkungen

The source is mentioned nowhere in the paper.

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(Hindemith), WiseWoman

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