Terrorism, security, and computation - 9783030606169 - a machine learning based model of boko haram (terrorism, security, and computation) de subrahmanian, v. s.; pulice, chiara; brown, james f.; bonen-clark, jacob (9 resultados)
A Machine Learning Based Model of Boko Haram (Terrorism, Security, and Computation)
Subrahmanian, V. S.; Pulice, Chiara; Brown, James F.; Bonen-Clark, Jacob
Idioma: Inglés
Editorial: Springer, 2021
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 151,20
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Condición: New. In.
Idioma: Inglés
Editorial: Springer, 2021
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 Hara…m'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.
A Machine Learning Based Model of Boko Haram (Terrorism, Security, and Computation)
Subrahmanian, V. S.; Pulice, Chiara; Brown, James F.; Bonen-Clark, Jacob
Idioma: Inglés
Editorial: Springer, 2021
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Condición: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Editorial: Springer, 2021
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 131,15
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Taschenbuch. Condición: Neu. A Machine Learning Based Model of Boko Haram | V. S. Subrahmanian (u. a.) | Taschenbuch | Terrorism, Security, and Computation | xii | Englisch | 2021 | Springer | EAN 9783030606169 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at…]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Editorial: Springer, 2021
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer International Publishing Dez 2021, 2021
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 149,79
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 148 pp. Englisch.
A Machine Learning Based Model of Boko Haram (Terrorism, Security, and Computation)
Subrahmanian, V. S.; Pulice, Chiara; Brown, James F.; Bonen-Clark, Jacob
Idioma: Inglés
Editorial: Springer, 2021
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 201,78
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Condición: New. Print on Demand.
Idioma: Inglés
Editorial: Springer, Springer Dez 2021, 2021
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 149,79
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 sha…pe 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 148 pp. Englisch.
A Machine Learning Based Model of Boko Haram (Terrorism, Security, and Computation)
Subrahmanian, V. S.; Pulice, Chiara; Brown, James F.; Bonen-Clark, Jacob
Idioma: Inglés
Editorial: Springer, 2021
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- Impresión bajo demanda
Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 207,05
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Condición: New. PRINT ON DEMAND.
