Big Data in Engineering Applications (Paperback, Softcover reprint of the original 1st ed. 2018)

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 to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume, variety, and velocity of information keep increasing. The book is a useful reference for graduate students, researchers and scientists interested in exploring the potential of Big Data in the application of engineering areas.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Studies in Big Data, 44
Release date:	December 2018
First published:	2018
Editors:	Sanjiban Sekhar Roy • Pijush Samui • Ravinesh Deo • Stavros Ntalampiras
Dimensions:	235 x 155 x 21mm (L x W x T)
Format:	Paperback
Pages:	384
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-981-13-4162-5
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	981-13-4162-1
Barcode:	9789811341625

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