Machine Learning Techniques to Predict Terrorist Attacks
Exemplified by Jama'at Nasr al-Islam wal Muslimin
Springer
ISBN 978-3-031-93173-4
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Hardcover
2025
15 s/w-Abbildungen, 14 Farbabbildungen.
In englischer Sprache
Umfang: xv, 132 S.
Format (B x L): 15,5 x 23,5 cm
Verlag: Springer
ISBN: 978-3-031-93173-4
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Terrorism, Security, and Computation
Produktbeschreibung
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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