Machine Learning Techniques to Predict Terrorist Attacks

Free Download Machine Learning Techniques to Predict Terrorist Attacks
English | 2025 | ISBN: 3031931734 | 127 Pages | PDF EPUB (True) | 18 MB
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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