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
General
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