Techniques and Environments for Big Data Analysis - Parallel, Cloud, and Grid Computing (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Big Data, 17
Release date:	February 2016
First published:	2016
Editors:	B S P Mishra • Satchidananda Dehuri • Euiwhan Kim • Gi-Name Wang
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Hardcover
Pages:	191
Edition:	1st ed. 2016
ISBN-13:	978-3-319-27518-5
Categories:	Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-27518-6
Barcode:	9783319275185

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