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1. |
Record Nr. |
UNINA9910786376603321 |
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Autore |
Olson Greg <1959-> |
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Titolo |
Voodoo priests, noble savages, and Ozark Gypsies [[electronic resource] ] : the life of folklorist Mary Alicia Owen / / Greg Olson |
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Pubbl/distr/stampa |
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Columbia [Mo.] ; ; London, : University of Missouri Press, c2012 |
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ISBN |
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Descrizione fisica |
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1 online resource (184 p.) |
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Collana |
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Missouri biography series |
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Disciplina |
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Soggetti |
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Folklorists - Missouri |
Women folklorists - Missouri |
Women - Missouri - Saint Joseph |
Women authors, American - Missouri |
Women intellectuals - Missouri - Saint Joseph |
Missouri Biography |
Saint Joseph (Mo.) Biography |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 155-166) and index. |
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Nota di contenuto |
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1. Queen City of the West, 1850-1860 -- 2. "Our unhappy country," 1860-1870 -- 3. Literary life, 1870-1890 -- 4. "White Voodoo," 1889-1891 -- 5. "A folklorist born, not made," 1891-1895 -- 6. Noble savages and Ozark Gypsies, 1894-1900 -- 7. Vanishing Indians, 1900-1904 -- 8. "Road to Paradise," 1905-1935 -- Epilogue: "Ever towards the setting sun they push us". |
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2. |
Record Nr. |
UNINA9910484486803321 |
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Autore |
Subrahmanian V. S. |
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Titolo |
A Machine Learning Based Model of Boko Haram / / by V. S. Subrahmanian, Chiara Pulice, James F. Brown, Jacob Bonen-Clark |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (XII, 135 p. 38 illus., 29 illus. in color.) |
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Collana |
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Terrorism, Security, and Computation, , 2197-8786 |
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Disciplina |
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Soggetti |
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Machine learning |
Data mining |
Terrorism |
Political violence |
Machine Learning |
Data Mining and Knowledge Discovery |
Terrorism and Political Violence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1: Introduction -- Chapter 2: History of Boko Haram -- Chapter 3: Temporal Probabilistic Rules and Policy Computation Algorithms -- Chapter 4: Sexual Violence -- Chapter 5: Suicide Bombings -- Chapter 6: Abductions -- Chapter 7: Arson -- Chapter 8: Other Types of Attacks -- Appendix A: All TP-Rules -- Appendix B: Data Collection -- Appendix C: Most Used Variables -- Appendix D: Sample Boko Haram Report. |
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Sommario/riassunto |
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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 |
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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. |
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