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|a The Mathematical Sciences' Role in Homeland Security :
|b Proceedings of a Workshop /
|c Board on Mathematical Sciences and Their Applications, Division on Engineering and Physical Sciences, National Research Council of the National Academies.
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|a Welcome and Overview of Sessions / Peter Bicke -- Data Mining, Unsupervised Learning, and Pattern Recognition -- Introduction / James Schatz -- Role of Data Mining in Homeland Defense / Jerry Friedman -- Statistical Detection from Communications Streams / Diane Lambert -- Data Mining : Potentials and Challenges / Rakesh Agrawal -- Review and Discussion Remarks / Donald McClure, Werner Stuetzle -- Detection and Epidemiology of Bioterrorist Attacks -- Introduction / Claire Broome -- Ambulatory Anthrax Surveillance : An Implemented System, with Comments on Current Outstanding Needs / Kenneth Kleinman -- Mathematics of Epidemiological Simulations for Response Planning / Stephen Eubank -- Predicting the Unpredictable in an Age of Uncertainty / Sally Blower -- Review and Discussion Remarks / Simon Levin, Arthur Reingold -- Image Analysis and Voice Recognition -- Introduction / Roberta Lenczowski -- Computational Vision / Jitendra Malik -- Mathematical Challenges for Real-Time Analysis of Imaging Data / Ronald Colfman -- Challenges in Speech Recognition / Larry Rabiner -- Review and Discussion Remarks / David McLaughlin, David Donoho -- Communications and Computer Security -- Introduction / Howard Schmidt -- A Security Challenge : Return on Security Investment / Dorothy Denning -- A Few Open Problems in Computer Security / David Wagner -- Review and Discussion Remarks / Andrew Odlyzko -- Data Integration and Fusion -- Introduction / Alexander Levis -- Reasoning About Rare Events / Tod Levitt -- Knowledge Representation and Inference for Multisource Fusion / Kathryn Laskey -- A Hierarchical Model for Estimating the Reliability of Complex Systems / Valen Johnson -- Review and Discussion Remarks / Arthur Dempster, Alberto Grunbaum.
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|t Mathematical sciences' role in homeland security.
|d Washington, D.C. : National Academies Press, ©2004
|z 0309531497
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