Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing

Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing

Author
Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Euiwhan Kim, Gi-Name Wang (eds.)
Publisher
Springer International Publishing
Language
English
Edition
1
Year
2016
Page
XI, 191
ISBN
978-3-319-27518-5,978-3-319-27520-8
File Type
pdf
File Size
7.3 MiB

This volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chapters providing a concise introduction to Big Data Analysis and recent Techniques and Environments for Big Data Analysis. It gives insight into how the expensive fitness evaluation of evolutionary learning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.

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