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A Machine Learning Based Model of Boko HaramAbductions

A Machine Learning Based Model of Boko Haram: Abductions [Abductions have been one of Boko Haram’s key terror strategies. The group targets children in particular and UNICEF estimates that more than 1000 children have been abducted by the group since 2013. The persons abducted by Boko Haram face a variety of horrors. Some are forced to be the brides of fighters while others are used as bargaining chips at the negotiating table. Most horrific are those hostages brainwashed or coerced into becoming suicide bombers for the group. The work presented in this chapter presents the temporal probabilistic rules (TP-Rules) we derived to predict abductions months in advance. These rules were derived by examining the circumstance surrounding when Boko Haram abducts people.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Machine Learning Based Model of Boko HaramAbductions

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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
81 –93
DOI
10.1007/978-3-030-60614-5_6
Publisher site
See Chapter on Publisher Site

Abstract

[Abductions have been one of Boko Haram’s key terror strategies. The group targets children in particular and UNICEF estimates that more than 1000 children have been abducted by the group since 2013. The persons abducted by Boko Haram face a variety of horrors. Some are forced to be the brides of fighters while others are used as bargaining chips at the negotiating table. Most horrific are those hostages brainwashed or coerced into becoming suicide bombers for the group. The work presented in this chapter presents the temporal probabilistic rules (TP-Rules) we derived to predict abductions months in advance. These rules were derived by examining the circumstance surrounding when Boko Haram abducts people.]

Published: Dec 12, 2020

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