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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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Mishra, B. S.P (Editör), Dehuri, Satchidananda (Editör), Kim, Euiwhan (Editör), Wang, Gi-Name (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edisyon:1st ed. 2016.
Seri Bilgileri:Studies in Big Data, 17
Konular:
Computational intelligence.
Data mining.
Artificial intelligence.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Online Erişim:Full-text access
Diğer Bilgiler
Özet: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.
Fiziksel Özellikler: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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