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