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.
General
| Imprint: |
Springer International Publishing AG
|
| Country of origin: |
Switzerland |
| Series: |
Adaptation, Learning, and Optimization, 19 |
| Release date: |
October 2016 |
| First published: |
2015 |
| Editors: |
D P Acharjya
• Satchidananda Dehuri
• Sugata Sanyal
|
| Dimensions: |
235 x 155 x 15mm (L x W x T) |
| Format: |
Paperback
|
| Pages: |
267 |
| Edition: |
Softcover reprint of the original 1st ed. 2015 |
| ISBN-13: |
978-3-319-36200-7 |
| Categories: |
Books >
Computing & IT >
General
Promotions
|
| LSN: |
3-319-36200-3 |
| Barcode: |
9783319362007 |
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