Big-Data Analytics and Cloud Computing - Theory, Algorithms and Applications (Hardcover, 1st ed. 2015)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	2016
First published:	2015
Editors:	Marcello Trovati • Richard Hill • Ashiq Anjum • Shao Ying Zhu • Lu Liu
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Hardcover
Pages:	169
Edition:	1st ed. 2015
ISBN-13:	978-3-319-25311-4
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Computer communications & networking > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Databases > General
LSN:	3-319-25311-5
Barcode:	9783319253114

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