Big Data in engineering applications
Big Data in engineering applications Book /
edited by Sanjiban Sekhar Roy, Pijush Samui, Ravinesh Deo, Stavros Ntalampiras.
- 384 pages : 24 cm.
- Studies in Big Data, 44 2197-6503 ; .
- Studies in Big Data, 44 2197-6503 ; .
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 gingering 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.
All.
9789811084751 (hardback)
2019745067
Big data.
Computational intelligence.
Computer mathematics.
Computational Intelligence.
Big Data.
Computational Science and Engineering.
006.3
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 gingering 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.
All.
9789811084751 (hardback)
2019745067
Big data.
Computational intelligence.
Computer mathematics.
Computational Intelligence.
Big Data.
Computational Science and Engineering.
006.3