Könyv Machine Learning Techniques to Predict Terrorist Attacks Laura Mostert

Machine Learning Techniques to Predict Terrorist Attacks

Exemplified by Jama'at Nasr al-Islam wal Muslimin

Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
19 507 Ft
This book provides the first systematic quantitative analysis of JNIM s behavior by analyzing a 12-y...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2025
oldal
139
EAN
9783031931734
Enbook ID
48422189
Súly
393
Méretek
155 x 235

Teljes leírás

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.  One of the most influential actors in spreading such Islamist violence across the Sahel is Jama at Nasr Al Islam Wal Muslimin (JNIM).

 This book describes a set of temporal probabilistic rules that state that when the environment in which the group operates satisfies some conditions, then an attack of a certain type will likely occur in the next N months.  This provides a deep, easy to comprehend understanding of the conditions under which JNIM carries various kinds of attacks up to 6 months into the future.

 This book will serve as an invaluable guide to scholars (computer scientists, political scientists, policy makers). Military officers, intelligence personnel, and government employees, who seek to understand, predict, and eventually mitigate attacks by JNIM and bring peace to the nations of Mali, Burkina Faso, and Niger will want to purchase this book as well.

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