Data Analytics Applied to the Mining Industry (True EPUB)
Category: eBooks
- views: 135
- date: 25 December 2025
- posted by: BeMyLove
Data Analytics Applied to the Mining Industry (True EPUB) | 14.49 MB
Title: Data Analytics Applied to the Mining Industry
Author: Ali Soofastaei
Category: Nonfiction, Computers, Database Management, Science & Nature, Technology, Engineering, Civil
Language: English | 320 Pages | ISBN: 9780429781766
Description:
Data Analytics Applied to the Mining Industry describes the key challenges facing the mining sector as it transforms into a digital industry able to fully exploit process automation, remote operation centers, autonomous equipment and the opportunities offered by the industrial internet of things. It provides guidelines on how data needs to be collected, stored and managed to enable the different advanced data analytics methods to be applied effectively in practice, through use of case studies, and worked examples. Aimed at graduate students, researchers, and professionals in the industry of mining engineering, this book: Explains how to implement advanced data analytics through case studies and examples in mining engineering Provides approaches and methods to improve data-driven decision making Explains a concise overview of the state of the art for Mining Executives and Managers Highlights and describes critical opportunity areas for mining optimization Brings experience and learning in digital transformation from adjacent sectors
DOWNLOAD:
https://rapidgator.net/file/57bfc070ff9431369bb2aca784c7f52f/Data_Analytics_Applied_to_the_Mining_Industry_True_EPUB.epub
https://nitroflare.com/view/2C76E2FB4EB568E/Data_Analytics_Applied_to_the_Mining_Industry_True_EPUB.epub
Data Analytics Applied to the Mining Industry describes the key challenges facing the mining sector as it transforms into a digital industry able to fully exploit process automation, remote operation centers, autonomous equipment and the opportunities offered by the industrial internet of things. It provides guidelines on how data needs to be collected, stored and managed to enable the different advanced data analytics methods to be applied effectively in practice, through use of case studies, and worked examples. Aimed at graduate students, researchers, and professionals in the industry of mining engineering, this book: Explains how to implement advanced data analytics through case studies and examples in mining engineering Provides approaches and methods to improve data-driven decision making Explains a concise overview of the state of the art for Mining Executives and Managers Highlights and describes critical opportunity areas for mining optimization Brings experience and learning in digital transformation from adjacent sectors
DOWNLOAD:
https://rapidgator.net/file/57bfc070ff9431369bb2aca784c7f52f/Data_Analytics_Applied_to_the_Mining_Industry_True_EPUB.epub
https://nitroflare.com/view/2C76E2FB4EB568E/Data_Analytics_Applied_to_the_Mining_Industry_True_EPUB.epub
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||