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| 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
| on special |
normal price: R 3,737.95
Price: R 3,363.95
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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 |
Available from overseas. Delivery time is 14 - 21 days
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 |
Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price |
R 5,641.95
Price |
R 5,076.95
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Survive the AI Apocalypse: A guide for solutionists
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Paperback / softback
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352 pages
was: R 295.95
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was: R 220.95
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Dete Meserve
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320 pages
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