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Machine Learning Techniques to Predict Terrorist Attacks Exemplified by Jama'at Nasr al-Islam wal Muslimin /

One of the most influential actors in spreading Islamist violence across the Sahel is Jama’at Nasr Al Islam Wal Muslimin (JNIM).This book provides the first systematic quantitative analysis of JNIM’s behavior by analyzing a 12-year database of JNIM’s attacks and the environment surrounding JNIM. Thi...

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Main Authors: Mostert, Laura (Author), Lindelauf, Roy (Author), Pulice, Chiara (Author), Provoost, Marnix (Author), Amin, Priyanka (Author), Subrahmanian, V.S (Author)
Autor Corporativo: SpringerLink (Online service)
Formato: Recurso Electrónico livro electrónico
Idioma:inglês
Publicado em: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edição:1st ed. 2025.
Colecção:Terrorism, Security, and Computation,
Assuntos:
Machine learning.
Artificial intelligence.
Politics and war.
Terrorism.
Political violence.
Machine Learning.
Artificial Intelligence.
Military and Defence Studies.
Terrorism and Political Violence.
Acesso em linha:https://doi.org/10.1007/978-3-031-93174-1
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