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612-822-4611
Machine Learning Techniques to Predict Terrorist Attacks: Exemplified by Jama'at Nasr Al-Islam Wal Muslimin

Machine Learning Techniques to Predict Terrorist Attacks: Exemplified by Jama'at Nasr Al-Islam Wal Muslimin

Paperback

Series: Terrorism, Security, and Computation

General ComputersGeneral Political ScienceProbability & Statistics

Currently unavailable to order

ISBN10: 3031939840
ISBN13: 9783031939846
Publisher: Springer
Published: Jul 4 2026
Pages: 132
Language: English
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. This book leverages AI/ML predictive models to accurately predict almost 40 types of attacks using over 80 independent variables.

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General Computers