Statistical Methods In Counterterrorism
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Statistical Methods in Counterterrorism
Author: Alyson Wilson
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-01-15
With the realization that many clues and hints preceded the September 11 terrorist attacks, statisticians became an important part of the global war on terror. This book surveys emerging research at the intersection of national security and statistical sciences. In it, a diverse group of talented researchers address such topics as Syndromic Surveillance; Modeling and Simulation; Biometric Authentication; and Game Theory. The book includes general reviews of quantitative approaches to counterterrorism, for decision makers with policy backgrounds, as well as technical treatments of statistical issues that will appeal to quantitative researchers.
Computational Methods for Counterterrorism
Author: Shlomo Argamon
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-06-18
Modern terrorist networks pose an unprecedented threat to international security. The question of how to neutralize that threat is complicated radically by their fluid, non-hierarchical structures, religious and ideological motivations, and predominantly non-territorial objectives. Governments and militaries are crafting new policies and doctrines to combat terror, but they desperately need new technologies to make these efforts effective. This book collects a wide range of the most current computational research that addresses critical issues for countering terrorism, including: Finding, summarizing, and evaluating relevant information from large and changing data stores; Simulating and predicting enemy acts and outcomes; and Producing actionable intelligence by finding meaningful patterns hidden in huge amounts of noisy data. The book’s four sections describe current research on discovering relevant information buried in vast amounts of unstructured data; extracting meaningful information from digitized documents in multiple languages; analyzing graphs and networks to shed light on adversaries’ goals and intentions; and developing software systems that enable analysts to model, simulate, and predict the effects of real-world conflicts. The research described in this book is invaluable reading for governmental decision-makers designing new policies to counter terrorist threats, for members of the military, intelligence, and law enforcement communities devising counterterrorism strategies, and for researchers developing more effective methods for knowledge discovery in complicated and diverse datasets.
Introduction to Statistical Methods for Biosurveillance
Author: Ronald D. Fricker
language: en
Publisher: Cambridge University Press
Release Date: 2013-02-25
Presents basic and advanced methods with a focus on demonstrated added value for a broad class of public health surveillance problems.