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

controllers

書(shū)目名稱Handbook of Computational Approaches to Counterterrorism影響因子(影響力)




書(shū)目名稱Handbook of Computational Approaches to Counterterrorism影響因子(影響力)學(xué)科排名




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書(shū)目名稱Handbook of Computational Approaches to Counterterrorism網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




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書(shū)目名稱Handbook of Computational Approaches to Counterterrorism讀者反饋




書(shū)目名稱Handbook of Computational Approaches to Counterterrorism讀者反饋學(xué)科排名

INERT

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

SOBER

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.

該得

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.

飲料

無(wú)王時(shí)期,

Compatriot

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].

財(cái)政

Vaginismus

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].

經(jīng)典

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.