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Sinopsis
This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions; identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets.
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Acerca del autor
The editors are all members of the Computing and Mathematics Department at the University of Derby, UK, where Dr. Marcello Trovati serves as a Senior Lecturer in Mathematics, Dr. Richard Hill as a Professor and Head of the Computing and Mathematics Department, Dr. Ashiq Anjum as a Professor of Distributed Computing, Dr. Shao Ying Zhu as a Senior Lecturer in Computing, and Dr. Lu Liu as a Professor of Distributed Computing. The other publications of the editors include the Springer titles Guide to Security Assurance for Cloud Computing, Guide to Cloud Computing and Cloud Computing for Enterprise Architectures.
De la contraportada
This important and timely text/reference reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science.
Topics and features:
- Describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures
- Examines the applications and implementations that utilize big data in cloud architectures
- Surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions
- Identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches
- Provides relevant theoretical frameworks, empirical research findings, and numerous case studies
- Discusses real-world applications of algorithms and techniques to address the challenges of big datasets
The editors are all members of the Computing and Mathematics Department at the University of Derby, UK, where Dr. Marcello Trovati serves as a Senior Lecturer in Mathematics, Dr. Richard Hillas a Professor and Head of the Computing and Mathematics Department, Dr. Ashiq Anjum as a Professor of Distributed Computing, Dr. Shao Ying Zhu as a Senior Lecturer in Computing, and Dr. Lu Liu as a Professor of Distributed Computing. The other publications of the editors include the Springer titles Guide to Security Assurance for Cloud Computing, Guide to Cloud Computing and Cloud Computing for Enterprise Architectures.
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Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications
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Big-Data Analytics and Cloud Computing. Theory, Algorithms and Applications.
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Big-Data Analytics and Cloud Computing : Theory, Algorithms and Applications
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Big-Data Analytics and Cloud Computing
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses and explores theoretical concepts, principles, tools, techniques and deployment models in the context of Big DataFocuses on the latest developments in Data Science (aka Analytics) and, especially, their applications to real-world challen. Nº de ref. del artículo: 74165914
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Big-Data Analytics and Cloud Computing
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ISBN 13: 9783319253114
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions; identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets. 188 pp. Englisch. Nº de ref. del artículo: 9783319253114
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Big-Data Analytics and Cloud Computing : Theory, Algorithms and Applications
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ISBN 10: 3319253115
ISBN 13: 9783319253114
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions; identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets. Nº de ref. del artículo: 9783319253114
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Big-Data Analytics and Cloud Computing
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ISBN 10: 3319253115
ISBN 13: 9783319253114
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Buch. Condición: Neu. Neuware -This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions; identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 188 pp. Englisch. Nº de ref. del artículo: 9783319253114
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Big-Data Analytics and Cloud Computing 2015: Theory, Algorithms and Applications
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