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
Description
Summary: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.
Physical Description:VI, 384 p. 135 illus., 88 illus. in color. online resource.
ISBN:9789811084768
ISSN:2197-6511 ;
DOI:10.1007/978-981-10-8476-8

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