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BestsellerE-book

Title Out of the ordinary : finding hidden threats by analyzing unusual behavior / John Hollywood [and others].

Publication Info. Santa Monica, Calif. : RAND Corp., 2004.

Item Status

Description 1 online resource (xxx, 155 pages) : illustrations, charts
text file PDF
Physical Medium polychrome
Note "MG-126-RC."
Bibliography Includes bibliographical references (pages 151-155) and appendices.
Note Title from title screen (viewed 11/23/2004).
Summary Presents a unique appraoch to selecting and assembling disparate pieces of information to produce a general understanding of a threat. The Atypical Signal Analysis and Processing schema identifies atypical behavior potentially related to terror actvity; puts it into context; generates and tests hypotheses; and focuses analysts' attention on the most significant findings. A supporting conceptual architecture and specific techniques for identifying and analyzing out-of-the-ordinary information are also described.
Contents Introduction -- Data analyzed in the ASAP Schema -- The Atypical Signal Analysis and Processing Architecture -- Finding the dots -- Connecting the dots -- Understanding the dots: generating and testing hypotheses -- Conclusion -- Case study: "The November 9th incident" -- Systems realted to the ASAP architecture.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
JSTOR Books at JSTOR Open Access
Subject Criminal behavior, Prediction of -- United States.
Criminal behavior, Prediction of.
United States.
Crime forecasting -- United States.
Crime forecasting.
Criminal methods -- United States.
Criminal methods.
Terrorism -- Forecasting.
Terrorism -- Forecasting.
Terrorism.
Terrorism -- Psychological aspects.
Terrorism -- Psychological aspects.
Intelligence service -- United States.
Intelligence service.
National security -- United States.
National security.
Genre/Form Electronic books.
Electronic books.
Added Author Hollywood, John S., 1973-
Rand Corporation.
Other Form: Print version: Out of the ordinary. 0833035207 (DLC) 2003023703 (OCoLC)53356475
ISBN 9780833048172 (electronic book)
0833048171 (electronic book)
9781598754131 (electronic book)
1598754130 (electronic book)
1282451227
9781282451223
0833035207
9780833035202
Report No. RAND/MG-126-RC