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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik A Machine Learning Based Model of Boko Haram
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A Machine Learning Based Model of Boko Haram
V. S. Subrahmanian, Chiara Pulice, James F. Brown, Jacob Bonen-Clark (Broschiert, Englisch)
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Beschreibung
This is the first study of Boko Haram that brings advanced data-driven, machine learning models to both learn models capable of predicting a wide range of attacks carried out by Boko Haram, as well as develop data-driven policies to shape Boko Haram’s behavior and reduce attacks by them. This book also identifies conditions that predict sexual violence, suicide bombings and attempted bombings,… abduction, arson, looting, and targeting of government officials and security installations. After reducing Boko Haram’s history to a spreadsheet containing monthly information about different types of attacks and different circumstances prevailing over a 9 year period, this book introduces Temporal Probabilistic (TP) rules that can be automatically learned from data and are easy to explain to policy makers and security experts. This book additionally reports on over 1 year of forecasts made using the model in order to validate predictive accuracy. It also introduces a policy computation method to rein in Boko Haram’s attacks. Applied machine learning researchers, machine learning experts and predictive modeling experts agree that this book is a valuable learning asset. Counter-terrorism experts, national and international security experts, public policy experts and Africa experts will also agree this book is a valuable learning tool. 149,79 €
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Technische Daten
Erscheinungsdatum
13.12.2021
Sprache
Englisch
EAN
9783030606169
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Terrorism, Security, and Computation
Sonderedition
Nein
Autor
V. S. Subrahmanian, Chiara Pulice, James F. Brown, Jacob Bonen-Clark
Seitenanzahl
135
Einbandart
Broschiert
Schlagwörter
Boko Haram, Counterterrorism, Machine Learning, artificial intelligence, Predictive Models, national security, Public Policy, Africa, Nigeria, Data Science, Behavioral Analytics, Computational Intelligence, Probabilistic Models
Thema-Inhalt
UYQM - Maschinelles Lernen
UNF - Data Mining
UYQE - Wissensbasierte Systeme, Expertensysteme
JPWL - Terrorismus, bewaffneter Kampf
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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