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Titlebook: Handbook of Computational Approaches to Counterterrorism; V.S. Subrahmanian Book 2013 Springer Science+Business Media New York 2013 Behavi

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发表于 2025-3-21 16:23:31 | 显示全部楼层 |阅读模式
书目名称Handbook of Computational Approaches to Counterterrorism
编辑V.S. Subrahmanian
视频video
概述The first handbook that brings together a wide variety of computational techniques (and authors spanning multiple disciplines related to counterterrorism research) in a single, definitive, reference w
图书封面Titlebook: Handbook of Computational Approaches to Counterterrorism;  V.S. Subrahmanian Book 2013 Springer Science+Business Media New York 2013 Behavi
描述.Terrorist groups throughout the world have been studied primarily through the use of social science methods. However, major advances in IT during the past decade have led to significant new ways of studying terrorist groups, making forecasts, learning models of their behaviour, and shaping policies about their behaviour. .Handbook of Computational Approaches to Counterterrorism. provides the first in-depth look at how advanced mathematics and modern computing technology is shaping the study of terrorist groups. This book includes contributions from world experts in the field, and presents extensive information on terrorism data sets, new ways of building such data sets in real-time using text analytics, introduces the mathematics and computational approaches to understand terror group behaviour, analyzes terror networks, forecasts terror group behaviour, and shapes policies against terrorist groups. Auxiliary information will be posted on the book’s website. .Thisbook targets defence analysts, counter terror analysts, computer scientists, mathematicians, political scientists, psychologists, and researchers from the wide variety of fields engaged in counter-terrorism research. Adva
出版日期Book 2013
关键词Behavioral Analytics; Computational models of terror groups; Counterterrorism; Data Mining and Machine
版次1
doihttps://doi.org/10.1007/978-1-4614-5311-6
isbn_softcover978-1-4899-8766-2
isbn_ebook978-1-4614-5311-6
copyrightSpringer Science+Business Media New York 2013
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发表于 2025-3-21 22:17:09 | 显示全部楼层
nterterrorism research) in a single, definitive, reference w.Terrorist groups throughout the world have been studied primarily through the use of social science methods. However, major advances in IT during the past decade have led to significant new ways of studying terrorist groups, making forecas
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https://doi.org/10.1007/978-94-024-2039-5proving the accuracy of prediction as well as their practicality by using root mean squared forecast error tests. The cases of Iraq and Afghanistan were chosen with data through January 31 2009 not only because they are high on the decision maker agendas, but also because the on-going conflicts.
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https://doi.org/10.1007/978-1-4419-9701-2acebook, Google+, and Twitter are hard to track due to their massive scale and increased awareness of privacy. Criminals and terrorists strive to hide their relationships, especially those that can associate them with a executed terror act.
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Ultra Wideband Wireless Body Area Networksolitical event coding ontologies— CAMEO [34] and IDEA[4,27]—designed for implementation in automated coding systems. A summary of the current status of political event projects, as well as detailed discussions of some of these, can be found in [10, 32].
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Automated Coding of Political Event Dataolitical event coding ontologies— CAMEO [34] and IDEA[4,27]—designed for implementation in automated coding systems. A summary of the current status of political event projects, as well as detailed discussions of some of these, can be found in [10, 32].
发表于 2025-3-23 08:23:39 | 显示全部楼层
SOMA: Stochastic Opponent Modeling Agents for Forecasting Violent Behaviorg security strategies. In this chapter, we develop the Stochastic Opponent Modeling Agents (SOMA) framework as a stochastic model of terror group behavior, presenting several scalable forecasting algorithms and a methodology for creating behavioral models from relational data.
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