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Springer - Big Data in Engineering Applications: 44

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Description

Explore the modern landscape of data science with Big Data in Engineering Applications: 44. Published by Springer, this volume provides a comprehensive look at the current trends, technologies, and challenges facing the industry today. As data grows in volume, variety, and velocity, understanding how to use it for decision-making becomes essential across many different sectors. This book covers a wide range of disciplines, moving from traditional fields like mechanical, civil, electrical, and computer science to specialized areas in electronics, pharmaceutical, and biological sciences. By bringing together contributions from experts in both academia and industry, the text offers a practical look at how big data is applied to solve complex problems. Whether you are studying engineering or working in a professional scientific field, this book provides the necessary context for navigating the evolving role of large-scale data in modern engineering and science.

Key Features

Covers a wide range of disciplines including mechanical, civil, electrical, and computer science engineering.

Includes specialized applications within the pharmaceutical and biological sciences sectors.

Features contributions from diverse authors representing both academic research and industrial sectors.

Addresses the challenges of managing data characterized by high volume, variety, and velocity.

Provides insights into using big data to improve the decision-making process in engineering fields.

Product Specifications

Colour
White
Format
hardcover
Domain
Amazon UK
Release Date
16 May 2018
Listed Since
18 January 2018

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No barcode data available

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