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

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 A...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Mishra, B. S.P (Editor), Dehuri, Satchidananda (Editor), Kim, Euiwhan (Editor), Wang, Gi-Name (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edition:1st ed. 2016.
Series:Studies in Big Data, 17
Subjects:
Computational intelligence.
Data mining.
Artificial intelligence.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Online Access:Full-text access
Description
Summary: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.
Physical Description:XI, 191 p. 103 illus., 76 illus. in color. online resource.
ISBN:9783319275208
ISSN:2197-6511 ;
DOI:10.1007/978-3-319-27520-8

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