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Big-Data Analytics and Cloud Computing : Theory, Algorithms and Applications

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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.

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Availability

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Detail Information

Series Title

-

Call Number

004

Publisher

Cham : Springer Cham., 2016

Collation

-

Language

English

ISBN/ISSN

978-3-319-25313-8

Classification

004

Content Type

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Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

PEMROSESAN DATA

Specific Detail Info

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Statement of Responsibility

Marcello Trovati et al

Other Information

Cataloger

ratna

Source

https://link.springer.com/10.1007/978-3-319-25313-8

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