Big data in engineering applications / Sanjiban Sekhar Roy, Pijush Samui, Ravinesh Deo, Stavros Ntalampiras, editors.
Roy, Sanjiban Sekhar, editor.; Samui, Pijush, 1978- editor.; Deo, Ravinesh, editor.; Ntalampiras, Stavros, editor.
2018
Q342
Available Online

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Title Big data in engineering applications / Sanjiban Sekhar Roy, Pijush Samui, Ravinesh Deo, Stavros Ntalampiras, editors.
ISBN 9789811084768 (electronic book)
9811084769 (electronic book)
9789811084751
9811084750
DOI https://doi.org/10.1007/978-981-10-8476-8
Published Singapore : Springer, 2018.
Language English
Description 1 online resource (vi, 384 pages) : illustrations.
Item Number 10.1007/978-981-10-8476-8 doi
Call Number Q342
Dewey Decimal Classification 005.7
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.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Added Author Roy, Sanjiban Sekhar, editor.
Samui, Pijush, 1978- editor.
Deo, Ravinesh, editor.
Ntalampiras, Stavros, editor.
Series Studies in big data ; v. 44.
Available in Other Form Print version: 9789811084751
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