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Big-data Analytics and Cloud Computing : Theory, Algorithms and Applications (Hardcover)

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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.

Genre: Computers + Internet
Sub-Genre: Mathematical + Statistical Software, Hardware / Network Hardware, Computer Simulation
Format: Hardcover
Publisher: Springer Verlag
Language: English
Street Date: January 19, 2016
TCIN: 50926503
UPC: 9783319253114
Item Number (DPCI): 248-12-7988

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