Big Data in Engineering Applications

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Database Management, General Computing
Cover of the book Big Data in Engineering Applications by , Springer Singapore
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9789811084768
Publisher: Springer Singapore Publication: May 2, 2018
Imprint: Springer Language: English
Author:
ISBN: 9789811084768
Publisher: Springer Singapore
Publication: May 2, 2018
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer Singapore

Cover of the book Optical Fiber Sensing and Structural Health Monitoring Technology by
Cover of the book Wood is Good by
Cover of the book Chiral Four-Dimensional Heterotic String Vacua from Covariant Lattices by
Cover of the book Assessment of Carbon Footprint in Different Industrial Sectors, Volume 2 by
Cover of the book A Study into the Design of Steerable Microphone Arrays by
Cover of the book Waste Bioremediation by
Cover of the book E-Portfolios in Higher Education by
Cover of the book Architecture Exploration of FPGA Based Accelerators for BioInformatics Applications by
Cover of the book EM Wave Propagation Analysis in Plasma Covered Radar Absorbing Material by
Cover of the book Soft Computing and Signal Processing by
Cover of the book Big Data Analytics by
Cover of the book Polymer Gels by
Cover of the book Roadmap to Sustainable Textiles and Clothing by
Cover of the book Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018 by
Cover of the book Ocular Emergency by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy