Books > Social sciences > Politics & government > Political activism > Terrorism, freedom fighters, armed struggle
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Computational Methods for Counterterrorism (Paperback, 2009 ed.)
Loot Price: R2,797
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Computational Methods for Counterterrorism (Paperback, 2009 ed.)
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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.
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