Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A Machine Learning Based Model of Boko HaramSuicide Bombings

A Machine Learning Based Model of Boko Haram: Suicide Bombings [Suicide bombings have been one of Boko Haram’s go-to tools of terror after the group escalated its campaign of violence. During 2015 and 2016 only one month during each year did not see a suicide bombing. This chapter will examine the circumstances surrounding suicide bombings and the temporal probabilistic rules (TP-Rules) we were able to derive. These TP-Rules were derived from the circumstances and events that appear to be linked to Boko Haram’s use of suicide bombers. For example, we derived TP-Rules to predict the occurrence or absence of suicide bombings based on Boko Haram’s use of child soldiers.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Loading next page...
 
/lp/springer-journals/a-machine-learning-based-model-of-boko-haram-suicide-bombings-3fvkGKXkQg
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
67 –80
DOI
10.1007/978-3-030-60614-5_5
Publisher site
See Chapter on Publisher Site

Abstract

[Suicide bombings have been one of Boko Haram’s go-to tools of terror after the group escalated its campaign of violence. During 2015 and 2016 only one month during each year did not see a suicide bombing. This chapter will examine the circumstances surrounding suicide bombings and the temporal probabilistic rules (TP-Rules) we were able to derive. These TP-Rules were derived from the circumstances and events that appear to be linked to Boko Haram’s use of suicide bombers. For example, we derived TP-Rules to predict the occurrence or absence of suicide bombings based on Boko Haram’s use of child soldiers.]

Published: Dec 12, 2020

There are no references for this article.