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dc.contributor.authorSelf, Richard
dc.contributor.authorVoorhis, Dave
dc.date.accessioned2016-11-14T09:44:17Z
dc.date.available2016-11-14T09:44:17Z
dc.date.issued2015-02-17
dc.identifier.citationSelf, R. and Voorhis, D. (2015) 'Tools and technologies for the implementation of Big Data' in Akhgar, B. et al. (ed.) Application of Big Data for national security: A practitioner’s guide to emerging technologies, Amsterdam: Butterworth-Heinemann.en
dc.identifier.isbn9780128019672
dc.identifier.isbn9780128019733
dc.identifier.urihttp://hdl.handle.net/10545/620818
dc.description.abstractApplication of Big Data for National Security provides users with state-of-the-art concepts, methods, and technologies for Big Data analytics in the fight against terrorism and crime, including a wide range of case studies and application scenarios. This book combines expertise from an international team of experts in law enforcement, national security, and law, as well as computer sciences, criminology, linguistics, and psychology, creating a unique cross-disciplinary collection of knowledge and insights into this increasingly global issue. The strategic frameworks and critical factors presented in Application of Big Data for National Security consider technical, legal, ethical, and societal impacts, but also practical considerations of Big Data system design and deployment, illustrating how data and security concerns intersect. In identifying current and future technical and operational challenges it supports law enforcement and government agencies in their operational, tactical and strategic decisions when employing Big Data for national security.
dc.language.isoenen
dc.publisherButterworth-Heinemannen
dc.relation.urlhttp://store.elsevier.com/Application-of-Big-Data-for-National-Security/Babak-Akhgar/isbn-9780128019672/en
dc.subjectGovernanceen
dc.subjectBig Dataen
dc.subjectNational securityen
dc.subjectData processingen
dc.titleTools and technologies for the implementation of Big Dataen
dc.typeBook chapteren
dc.contributor.departmentUniversity of Derbyen
html.description.abstractApplication of Big Data for National Security provides users with state-of-the-art concepts, methods, and technologies for Big Data analytics in the fight against terrorism and crime, including a wide range of case studies and application scenarios. This book combines expertise from an international team of experts in law enforcement, national security, and law, as well as computer sciences, criminology, linguistics, and psychology, creating a unique cross-disciplinary collection of knowledge and insights into this increasingly global issue. The strategic frameworks and critical factors presented in Application of Big Data for National Security consider technical, legal, ethical, and societal impacts, but also practical considerations of Big Data system design and deployment, illustrating how data and security concerns intersect. In identifying current and future technical and operational challenges it supports law enforcement and government agencies in their operational, tactical and strategic decisions when employing Big Data for national security.


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