Big-Data Analytics and Cloud Computing
Theory, Algorithms and Applications
Richard Hill editor Marcello Trovati editor Lu Liu editor Ashiq Anjum editor Shao Ying Zhu editor
Format:Paperback
Publisher:Springer International Publishing AG
Published:30th Mar '18
Currently unavailable, and unfortunately no date known when it will be back
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.
ISBN: 9783319797670
Dimensions: unknown
Weight: 454g
169 pages
Softcover reprint of the original 1st ed. 2015