Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications 1st ed. 2015 Edition by Marcello Trovati (Editor), Richard Hill (Editor), Ashiq Anjum (Editor), Shao Ying Zhu (Editor), Lu Liu (Editor)
Requirements: .PDF reader, 4 MB
Overview: 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.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://ouo.io/zmFx36
https://ouo.io/s9SL09
