Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications (1st ed. 2015)
By: and and and and
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- Synopsis
- 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.
- Copyright:
- 2015
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783319253138
- Related ISBNs:
- 9783319253114
- Publisher:
- Springer International Publishing
- Date of Addition:
- 09/13/19
- Copyrighted By:
- Springer International Publishing, Cham
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Marcello Trovati
- Edited by:
- Richard Hill
- Edited by:
- Ashiq Anjum
- Edited by:
- Shao Ying Zhu
- Edited by:
- Lu Liu
Reviews
Other Books
- by Marcello Trovati
- by Richard Hill
- by Ashiq Anjum
- by Shao Ying Zhu
- by Lu Liu
- in Nonfiction
- in Computers and Internet
- in Mathematics and Statistics