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books
| book details |
Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications
Edited by Marcello Trovati, Edited by Richard Hill, Edited by Ashiq Anjum, Edited by Shao Ying Zhu, Edited by Lu Liu
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| on special |
normal price: R 4 173.95
Price: R 3 965.95
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| book description |
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.
| product details |
Normally shipped |
Publisher | Springer International Publishing AG
Published date | 30 Mar 2018
Language |
Format | Paperback / softback
Pages | 169
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-3197-9767-0
Readership Age |
BISAC |
| other options |
Normally shipped |
Readership Age |
Normal Price | R 4 998.95
Price | R 4 748.95
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