Big-Data analytics and cloud computing: Theory, algorithms and applications
Book
Hill, Richard, Trovati, Marcello, Liu, Lu, Anjum, Ashiq and Zhu, Shao Ying 2015. Big-Data analytics and cloud computing: Theory, algorithms and applications. Springer.
| Authors | Hill, Richard, Trovati, Marcello, Liu, Lu, Anjum, Ashiq and Zhu, Shao Ying |
|---|---|
| Abstract | 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. |
| Keywords | Big Data analytics; Cloud computing |
| ISBN | 9783319253138 |
| Web address (URL) | http://hdl.handle.net/10545/620922 |
| hdl:10545/620922 | |
| File | File Access Level Open |
| Publication dates | 2015 |
| Publication process dates | |
| Deposited | 21 Nov 2016, 12:08 |
| Year | 2015 |
| Publisher | Springer |
| Contributors | University of Derby |
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