Data Analytics Applied to the Mining Industry by Ali Soofastaei
Requirements: .PDF reader, 7 MB
Overview: 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.
Genre: Non-Fiction > Educational
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Requirements: .PDF reader, 7 MB
Overview: 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.
Genre: Non-Fiction > Educational
Download Instructions:
https://userupload.net/5wan8ho2dx7e
https://dropgalaxy.vip/k6kv0mggats2
Trouble downloading? Read This.