COMPUTATIONAL METHODS FOR COUNTERTERRORISM

Modern terrorist networks bear an unexampled danger to planetary security. The discourse of how to weaken that danger is complicated radically by their fluid, non-hierarchical structures, churchlike and philosophic motivations, and predominantly non-territorial objectives. Governments and militaries are crafting newborn policies and doctrines to conflict terror, but they desperately requirement newborn technologies to attain these efforts effective.

This aggregation collects a panoramic arrange of the most underway computational investigate that addresses grave issues for countering terrorism, including:

• Finding, summarizing, and evaluating germane aggregation from super and dynamical accumulation stores;
• Simulating and predicting adversary acts and outcomes; and
• Producing actionable info by uncovering meaning patterns unseeable in Brobdingnagian amounts of clamorous data.

The book’s quaternary sections exposit underway investigate on discovering germane aggregation belowground in vast amounts of unregulated data; extracting meaning aggregation from digitized documents in binary languages; analyzing graphs and networks to drop reddened on adversaries’ goals and intentions; and nonindustrial code systems that enable analysts to model, simulate, and prognosticate the personalty of real-world conflicts.

The investigate described in this aggregation is valuable datum for governmental decision-makers artful newborn policies to furniture terrorist threats, for members of the military, intelligence, and accumulation enforcement communities production counterterrorism strategies, and for researchers nonindustrial more trenchant methods for noesis brainstorm in complicated and different datasets.

About the Author
Shlomo Argamon is Associate Professor of Computer Science at the Algonquin Institute of Technology, Chicago, IL, USA, since 2002. Prior to that, he had held scholarly positions at Bar-Ilan University, where he held a senator Postdoctoral Fellowship (1994-96), and at the Jerusalem College of Technology. Dr. Argamon conventional his B.S. (1988) in Applied Mathematics from Carnegie-Mellon University, and his M.Phil. (1991) and Ph.D. (1994) in Computer Science from altruist University, where he was a cycle Foundation Fellow. His underway investigate interests untruth mainly in the ingest of organisation acquisition methods to assistance in useful psychotherapy of uncolored language, with portion pore on questions of style. During his career, Dr. Argamon has worked on a difference of problems in empiric organisation learning, including robotic map-learning, theory revision, and uncolored module processing, and has publicised numerous investigate writing in these areas.