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
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
The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are...
Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely...
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