Big-Data analytics and cloud computing: Theory, algorithms and applications
Book
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 |
https://repository.derby.ac.uk/item/94833/big-data-analytics-and-cloud-computing-theory-algorithms-and-applications
Download files
139
total views0
total downloads13
views this month0
downloads this month