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 Location:  Home » Books » Culture » Intelligence and Security Informatics: Biosurveillance: Second NSF Workshop, BioSurveillance 2007, New Brunswick, NJ, USA, May 22, 2007, Proceedings (Lecture Notes in Computer Science)December 2, 2008  
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Intelligence and Security Informatics: Biosurveillance: Second NSF Workshop, BioSurveillance 2007, New Brunswick, NJ, USA, May 22, 2007, Proceedings (Lecture Notes in Computer Science)
Intelligence and Security Informatics: Biosurveillance: Second NSF Workshop, BioSurveillance 2007, New Brunswick, NJ, USA, May 22, 2007, Proceedings (Lecture Notes in Computer Science)
Creators: Daniel Zeng, Ivan Gotham, Ken Komatsu, Cecil Lynch, Mark Thurmond, David Madigan, Bill Lober, James Kvach, Hsinchun Chen
Publisher: Springer
Category: Book

List Price: $59.95
Buy New: $44.81
You Save: $15.14 (25%)
Buy New/Used from $39.50

Sales Rank: 2322760

Languages: English (Original Language), English (Unknown), English (Published)
Media: Paperback
Edition: 1
Number Of Items: 1
Pages: 234
Shipping Weight (lbs): 0.8
Dimensions (in): 9.2 x 6.1 x 0.6

ISBN: 3540726071
Dewey Decimal Number: 004
EAN: 9783540726074
ASIN: 3540726071

Publication Date: June 27, 2007
Availability: Usually ships in 1-2 business days

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Product Description

This book constitutes the refereed proceedings of the Second NSF Workshop on Biosurveillance Systems and Case Studies, BioSurveillance 2007, held in New Brunswick, NJ, USA in May 2007, co-located with the 2007 IEEE International Conference on Intelligence and Security Informatics (ISI 2007).

The 17 revised full papers, 6 revised short papers presented together with 1 invited talk and 2 poster papers were carefully reviewed and selected for inclusion in the book. Bringing together infectious disease informatics (IDI) researchers and practitioners to discuss selected topics directly relevant to data sharing and analysis for real-time animal and public health surveillance, the workshop covers a wide range of backgrounds such as epidemiology, statistics, applied mathematics, information systems, computer science and machine learning/data mining.



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