Screen LibraryBig 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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| Group Author: | ; ; ; |
|---|---|
| Published: |
Springer,
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| Publisher Address: | Singapore : |
| Publication Dates: | [2018] |
| Literature type: | Book |
| Language: | English |
| Series: |
Studies in big data,
volume 44 |
| Subjects: | |
| 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 infor |
| Carrier Form: | vi, 384 pages : illustrations (some color), forms ; 25 cm. |
| Bibliography: | Includes bibliographical references. |
| ISBN: |
9789811084751 (hardback) : 9811084750 (hardback) |
| Index Number: | Q342 |
| CLC: | TP311.13 |
| Call Number: | TP311.13/B592-11 |