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Repositorio Institucional Continental

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Title: Big data analysis for drilling and blasting in a mine in the central andes
Authors: Mallqui Carhuamaca, Jhordan
Tello Olivas, Josue Jorim
Esterripa Aguilar, Byron
Alvarez Montalvan, Carlos Enrique
Moggiano Aburto, Nabilt
Carrasco Contreras, Ruben Luis
Keywords: Minería de datos
Análisis de sistemas
Tecnología de la información
Publisher: Universidad Continental
Issue Date: 2021
Date available: 19-Aug-2021
Bibliographic citation: Mallqui, J., Tello, J., Esterripa, B., Alvarez, C., Moggiano, N. y Carrasco, R. (2021). Big data analysis for drilling and blasting in a mine in the central andes. ACM International Conference Proceeding Series, Feb.
Abstract: Big Data applied to mining, contemplates the combination of algorithms located in advanced technological tools to process a quantity of data, Power BI allows the interaction of different data formats, for integration it has the support of Python Script. In this article, Big Data was applied to essential activities such as drilling and blasting, analyzing the parameters, standards, quantities, advances, the objective was to develop an integration system of a quantity of data for its analysis and interpretation, it will contribute to decision making in the mining operation. The development of Dashboard for interactive reportability based on indicators, will allow to visualize more efficiently and in a virtual way among the interested parties. Finally, the application of Big Data in the field of mining mainly in the treatment of its data will be the trend of the future which will allow to optimize the time and the functionality of the reports.
Notes: El texto completo de este trabajo no está disponible en el Repositorio Institucional-Continental por restricciones de la casa editorial donde ha sido publicado.
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metadata.dc.format.extent: 27-33 páginas
Access: Acceso abierto
Source: Universidad Continental
Repositorio Institucional - Continental
Appears in Collections:Artículos de conferencias

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