Kniha 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

Jazyk: Angličtina
Väzba: Pevná
Vydavateľ: Springer, Berlin
Dostupnosť: Skladom u dodávateľa
Odosielame za 10-13 dní
49.05
This book provides the first systematic quantitative analysis of JNIM s behavior by analyzing a 12-y...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Pevná
Vydalo
2025
Stránok
139
EAN
9783031931734
Enbook ID
48422189
Vydavateľ
Hmotnosť
393
Rozmery
155 x 235

Kompletný popis

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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