Big Data in Engineering Applications volume 44
his 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 t...
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Other Authors: | , , , |
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Format: | Manuscript Book |
Language: | English |
Published: |
Singapore
Springer
2018
©2018 |
Edition: | Print book : English |
Series: | Studies in big data, v. 44
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Subjects: | |
Online Access: | Click Here to View Status and Holdings. |
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041 | 0 | # | |a eng |h eng |
090 | 0 | 0 | |a QC611.98 |b .B54 2018 |
245 | 1 | 0 | |a Big Data in Engineering Applications |c Editors Sanjiban Sekhar Roy, Pijush Samui, Ravinesh Deo, Stavros Ntalampiras |n volume 44 |
250 | # | # | |a Print book : English |
264 | # | 1 | |a Singapore |b Springer |c 2018 |
264 | # | 1 | |c ©2018 |
300 | # | # | |a vi, 384 pages |b some colour illustrations |c 24 cm |
336 | # | # | |a text |2 rdacontent |
337 | # | # | |a unmediated |2 rdamedia |
338 | # | # | |a volume |2 rdacarrier |
490 | 0 | # | |a Studies in Big data series |v volume 44 |
504 | # | # | |a Includes bibliographical references an index |
520 | # | # | |a his 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. |
546 | # | # | |a In English |
650 | 1 | 0 | |a Big data |
650 | 2 | 0 | |a Engineering |
650 | 2 | 0 | |a Computer science |x Mathematics |
650 | 2 | 0 | |a Computational intelligence |
700 | 0 | # | |a Sekhar, Sanjiban Sekhar |e editor |
700 | 0 | # | |a Samui, Pijush |e editor |
700 | 0 | # | |a Deo, Ravinesh |e editor |
700 | 0 | # | |a Ntalampiras, Stavros |e editor |
830 | # | 0 | |a Studies in big data, v. 44 |
856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=933508 |
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