Kontakt
Ako nakupovať
Doručenie
Nákupný poradca
Machine Learning Techniques to Predict Terrorist Attacks
Exemplified by Jama'at Nasr al-Islam wal Muslimin
Angličtina
122 b
30 dní na vrátenie tovaru
Zákazníci tiež kúpili
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.
Informácie o knihe
Angličtina
Darujte túto knihu ešte dnes
Je to jednoduché
1 Pridajte knihu do košíka a vyberte možnosť doručiť ako darček 2 Obratom Vám zašleme poukaz 3 Knihu zašleme na adresu obdarovanéhoMohlo by vás tiež zaujímať
/
Brožovaná
20.93
€
/
Brožovaná
15.47
€
/
Pevná
198.50
€