Big data in engineering applications

Edited book


Roy, Sanjiban Sekhar, Samui, Pijushi, Deo, Ravinesh and Ntalampiras, Stalampiras (ed.) 2018. Big data in engineering applications. Singapore. Springer.
Book Title

Big data in engineering applications

Book CategoryEdited book
ERA Publisher ID3337
EditorsRoy, Sanjiban Sekhar, Samui, Pijushi, Deo, Ravinesh and Ntalampiras, Stalampiras
SeriesStudies in Big Data
Year2018
PublisherSpringer
Place of PublicationSingapore
ISBN9789811084751
9789811084768
ISSN2197-6503
2197-6511
Digital Object Identifier (DOI)https://doi.org/10.1007/978-981-10-8476-8
Web Address (URL)http://www.springer.com/us/book/9789811084751#aboutBook
Abstract

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.

ANZSRC Field of Research 2020460510. Recommender systems
469999. Other information and computing sciences not elsewhere classified
460207. Modelling and simulation
Public Notes

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Institution of OriginUniversity of Southern Queensland
Byline AffiliationsSchool of Agricultural, Computational and Environmental Sciences
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