Data Analytics Applied to the Mining Industry

Data Analytics Applied to the Mining Industry describes the key challenges facing the mining sector as it transforms into a digital industry able capable of to fully exploiting process automation, remote operation centers, autonomous equipment, and the opportunities offered by the industrial interne...

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Bibliographic Details
Main Author:	Soofastaei, Ali
Format:	eBook Book
Language:	English
Published:	Boca Raton CRC Press 2020 Taylor & Francis Group
Edition:	1
Subjects:	Advanced data analytics method Artificial intelligence COMPUTERSCIENCEnetBASE Data Preparation & Mining Data processing Data storage, Transmission, Retrieval Data-driven decision making Decision Making ENGnetBASE Industrial internet of things INFORMATIONSCIENCEnetBASE Mineral industries Mineral industries > Data processing Mining Construction Mining Engineering Mining engineering > Data processing Mining Industry Mining optimization Mining Value Chain Mining, Mineral & Petroleum Engineering MININGENGINEERINGnetBASE Process Performance Analysis Quantitative research SCI-TECHnetBASE STMnetBASE Sustainable Mining Firefly Algorithm Unsupervised Ml SVM Vice Versa Established Ann Model Cycle Time BDA Technique RNN Ml Algorithm Business Processes Data Quality Programs Operational Data Infrastructure Mining Companies ARMA Model ARIMA Model Data Discovery Big Data Data Governance Programs Energy Efficiency Robotic Process Automation Dt BD Era Hadoop Distributed File System Mineral Processing Plants Data Models
ISBN:	1138360007, 9780367612245, 9781138360006, 0367612240
Online Access:	Get full text
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