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Big-Data Analytics and Cloud Computing

Posted By: Underaglassmoon
Big-Data Analytics and Cloud Computing

Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications
Springer | Theoretical Computer Science | January 13, 2016 | ISBN-10: 3319253115 | 169 pages | pdf | 4.3 mb

Editors: Trovati, M., Hill, R., Anjum, A., Zhu, S.Y., Liu, L. (Eds.)
Discusses and explores theoretical concepts, principles, tools, techniques and deployment models in the context of Big Data
Focuses on the latest developments in Data Science (aka Analytics) and, especially, their applications to real-world challenges
Includes numerous cases studies for in-class analysis and assignments


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.

Number of Illustrations and Tables
67 in colour
Topics
Probability and Statistics in Computer Science
Computer Communication Networks
Simulation and Modeling
Mathematical Applications in Computer Science

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