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The use of textual data mining in th...

White, Norman Eugene.

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The use of textual data mining in the detection of the proliferation of weapons of mass destruction.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The use of textual data mining in the detection of the proliferation of weapons of mass destruction./
Author:	White, Norman Eugene.
Description:	205 p.
Notes:	Source: Dissertation Abstracts International, Volume: 67-11, Section: B, page: 6561.
Contained By:	Dissertation Abstracts International67-11B.
Subject:	Biology, Microbiology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3240149
ISBN:	9780542949685

The use of textual data mining in the detection of the proliferation of weapons of mass destruction.
White, Norman Eugene.

The use of textual data mining in the detection of the proliferation of weapons of mass destruction. - 205 p.

Source: Dissertation Abstracts International, Volume: 67-11, Section: B, page: 6561.

Thesis (Ph.D.)--George Mason University, 2007.

This dissertation describes an experiment where a form of textual data mining of the World Wide Web is performed to discover web pages that may be indicative of the construction, research about, or at least interest in the various weapons of mass destruction (Biological, Chemical, Nuclear, and Radiological). Words have been selected from various control lists (Australia Group, Military Critical Technologies List, and others) and assigned various point scores according to their importance in constructing a weapon. Web pages from the World Wide Web are crawled, and analyzed and a score in obtained for each page scanned in each of the weapon categories. An innovative computer man-machine interface presents the information to an intelligence analyst in a manner such that the most important sites are analyzed first. The results of the experiment are analyzed and suggestions for future enhancements to the program are made.

ISBN: 9780542949685Subjects--Topical Terms:

1017734
Biology, Microbiology.

The use of textual data mining in the detection of the proliferation of weapons of mass destruction.
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100 1 $a White, Norman Eugene. $3 1917378
245 1 4 $a The use of textual data mining in the detection of the proliferation of weapons of mass destruction.
300 $a 205 p.
500 $a Source: Dissertation Abstracts International, Volume: 67-11, Section: B, page: 6561.
500 $a Adviser: Peter M. Leitner.
502 $a Thesis (Ph.D.)--George Mason University, 2007.
520 $a This dissertation describes an experiment where a form of textual data mining of the World Wide Web is performed to discover web pages that may be indicative of the construction, research about, or at least interest in the various weapons of mass destruction (Biological, Chemical, Nuclear, and Radiological). Words have been selected from various control lists (Australia Group, Military Critical Technologies List, and others) and assigned various point scores according to their importance in constructing a weapon. Web pages from the World Wide Web are crawled, and analyzed and a score in obtained for each page scanned in each of the weapon categories. An innovative computer man-machine interface presents the information to an intelligence analyst in a manner such that the most important sites are analyzed first. The results of the experiment are analyzed and suggestions for future enhancements to the program are made.
590 $a School code: 0883.
650 4 $a Biology, Microbiology. $3 1017734
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Computer Science. $3 626642
690 $a 0410
690 $a 0541
690 $a 0984
710 2 0 $a George Mason University. $3 1019450
773 0 $t Dissertation Abstracts International $g 67-11B.
790 1 0 $a Leitner, Peter M., $e advisor
790 $a 0883
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3240149