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Book synopsis

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.

Book details

Book category Books in English Mathematics & science Science: general issues Maths for scientists

• Full title: Big Data in Engineering Applications
• Author: Sanjiban Sekhar Roy, Pijush Samui, Ravinesh Deo, Stavros Ntalampiras
• Language: English
• Binding: Hardback
• Number of pages: 384
• EAN: 9789811084751
• ISBN: 9811084750
• ID: 18874017
• Publisher: Springer Verlag, Singapore
• Weight: 752 g
• Dimensions: 235 × 155 × 27 mm
• Date of publishing: 16. May 2018

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