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portada Big Data in Engineering Applications
Type
Physical Book
Publisher
Author
Language
English
Pages
384
Format
Hardcover
Dimensions
23.4 x 15.6 x 2.2 cm
Weight
0.72 kg.
ISBN13
9789811084751
Categories

Big Data in Engineering Applications

Roy, Sanjiban Sekhar ; Samui, Pijush ; Deo, Ravinesh (Author) · Springer · Hardcover

Big Data in Engineering Applications - Roy, Sanjiban Sekhar ; Samui, Pijush ; Deo, Ravinesh

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Synopsis "Big Data in Engineering Applications"

Reviews exhaustively the key recent applications of Big Data in engineering areas Includes chapters related to the application of advanced machine learning techniques in Big Data environment Treats both theoretical and practical aspects of Big Data applications in various engineering sectors

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