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Big Data in Engineering Applications

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Roy, Sanjiban Sekhar (Editor), Samui, Pijush (Editor), Deo, Ravinesh (Editor), Ntalampiras, Stavros (Editor)
Format:	e-Book
Language:	English
Published:	Singapore : Springer Nature Singapore : 2018. Imprint: Springer,
Edition:	1st ed. 2018.
Series:	Studies in Big Data, 44
Subjects:	Computational intelligence. Big data. Mathematics > Data processing. Computational Intelligence. Big Data. Computational Science and Engineering.
Online Access:	Full-text access

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