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Adaptation, Learning, and Optimization

Adaptation, Learning, and Optimization: Frontier Advances and Applications

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Adaptation, Learning, and Optimization: Frontier Advances and Applications

Acharjya, D.P.; Dehuri, Satchidananda; Sanyal, Sugata

The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each chapter. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of big data analysis and cloud computing.

Details

Published by: Springer

Publication Date: 2016-10-09

Format: Paperback

ISBN-13: 9783319362007

DOI: 10.1007/978-3-319-16598-1

Dimensions: 235cm x155cm

Pages: 267

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