A Machine Learning Based Model of Boko HaramSuicide Bombings
A Machine Learning Based Model of Boko Haram: Suicide Bombings
Subrahmanian, V. S.; Pulice, Chiara; Brown, James F.; Bonen-Clark, Jacob
2020-12-12 00:00:00
[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.pnghttp://www.deepdyve.com/lp/springer-journals/a-machine-learning-based-model-of-boko-haram-suicide-bombings-3fvkGKXkQg
A Machine Learning Based Model of Boko HaramSuicide 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.]
Published: Dec 12, 2020
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