Authors:Ferraboli, Amanda, Maycown Douglas de Oliveira Miranda, and Ali Soofastaei
Volume: –
Issue: –
Date: 2020
Pages: 75-100
The objective of this chapter is to create a Data Preparation framework to be used as a guide and best practices supporter for the adoption of Data Mining in the mining industry. Part I reviews essential aspects of Data Collection transition to Data Preparation and provides a summary of sources of Data in the mining industry; Part II outlines steps, techniques, and issues to prepare data before analysis and modeling; finally, Part III provides extended data preparation considerations and applications for specific cases.
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