Application of Big Data for National Security: A Practitioner's Guide to Emerging Technologies

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9780128019672: Application of Big Data for National Security: A Practitioner's Guide to Emerging Technologies

Application 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 * Contextualizes the Big Data concept and how it relates to national security and crime detection and prevention* Presents strategic approaches for the design, adoption, and deployment of Big Data technologies in preventing terrorism and reducing crime* Includes a series of case studies and scenarios to demonstrate the application of Big Data in a national security context* Indicates future directions for Big Data as an enabler of advanced crime prevention and detection

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Mining Big Data to Improve National Security: A Practitioner's Guide to Emerging Technologies introduces state-of-the-art concepts and technologies surrounding big data, providing users with a strategic framework that can be used to combat terrorism and reduce crime. An international team of computer scientists and national security experts provide extensive knowledge on this increasingly global issue using a series of case studies and predictions. The strategic frameworks and critical factors presented in the text consider legal, ethical, and societal impacts, illustrating how data and security concerns intersect. Future technical and operational challenges are also covered, along with new possibilities for improving detection and prevention of crime and terrorism. * Provides readers with the context they need to utilize big data in the most effective way* Presents a strategic framework that can be used to combat terrorism and reduce crime* Authored by a team of computer scientists and national security experts* Considers legal, ethical, and societal impacts, illustrating how data and security concerns intersect

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Application of Big Data for National Security

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Professor Babak Akhgar, Gregory B Saathoff, Hamid R. Arabnia
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Book Description ELSEVIER SCIENCE TECHNOLOGY, United Kingdom, 2015. Paperback. Book Condition: New. 235 x 192 mm. Language: English . Brand New Book. Application 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 * Contextualizes the Big Data concept and how it relates to national security and crime detection and prevention* Presents strategic approaches for the design, adoption, and deployment of Big Data technologies in preventing terrorism and reducing crime* Includes a series of case studies and scenarios to demonstrate the application of Big Data in a national security context* Indicates future directions for Big Data as an enabler of advanced crime prevention and detection. Bookseller Inventory # AAZ9780128019672

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Professor Babak Akhgar, Gregory B Saathoff, Hamid R. Arabnia
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Book Description ELSEVIER SCIENCE TECHNOLOGY, United Kingdom, 2015. Paperback. Book Condition: New. 235 x 192 mm. Language: English . Brand New Book. Application 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. Bookseller Inventory # AAZ9780128019672

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Book Description Elsevier Science & Technology. Paperback. Book Condition: new. BRAND NEW, Application of Big Data for National Security: A Practitioner's Guide to Emerging Technologies, Babak Akhgar, Gregory B Saathoff, Hamid R. Arabnia, Richard Hill, Andrew Staniforth, Application 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 * Contextualizes the Big Data concept and how it relates to national security and crime detection and prevention* Presents strategic approaches for the design, adoption, and deployment of Big Data technologies in preventing terrorism and reducing crime* Includes a series of case studies and scenarios to demonstrate the application of Big Data in a national security context* Indicates future directions for Big Data as an enabler of advanced crime prevention and detection. Bookseller Inventory # B9780128019672

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Book Description Butterworth-Heinemann. Book Condition: New. Num Pages: 316 pages. BIC Classification: JPWL; UR. Category: (P) Professional & Vocational. Dimension: 239 x 191 x 18. Weight in Grams: 630. . 2015. 1st Edition. Paperback. . . . . Books ship from the US and Ireland. Bookseller Inventory # V9780128019672

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