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A Machine Learning Based Model of Boko HaramIntroduction

A Machine Learning Based Model of Boko Haram: Introduction [Boko Haram is one of the deadliest terrorist groups in the world today. This chapter provides a quick overview of several major types of attacks carried out by Boko Haram since its inception. The chapter also describes the factors that are predictively linked to various types of attacks carried out over a future time window of 1, 2, 3, 4, 5, and 6 months. The chapter describes a set of policies that show promise of reducing violence by Boko Haram, together with a detailed analysis of one policy in particular.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Machine Learning Based Model of Boko HaramIntroduction

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Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
ISBN
978-3-030-60613-8
Pages
1 –22
DOI
10.1007/978-3-030-60614-5_1
Publisher site
See Chapter on Publisher Site

Abstract

[Boko Haram is one of the deadliest terrorist groups in the world today. This chapter provides a quick overview of several major types of attacks carried out by Boko Haram since its inception. The chapter also describes the factors that are predictively linked to various types of attacks carried out over a future time window of 1, 2, 3, 4, 5, and 6 months. The chapter describes a set of policies that show promise of reducing violence by Boko Haram, together with a detailed analysis of one policy in particular.]

Published: Dec 12, 2020

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