Thesis MINERÍA DE DATOS CON DATOS DE LA MINERÍA CHILENA
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Date
2019-10
Journal Title
Journal ISSN
Volume Title
Program
INGENIERÍA CIVIL INFORMÁTICA
Campus
Campus San Joaquín, Santiago
Abstract
En la actualidad las empresas e industrias recopilan grandes volúmenes de datos los cuales normalmente son utilizados para la generación de reportes, sin embargo, existe un potencial el cual no es aprovechado en su totalidad, puesto que, analizar grandes volúmenes de datos por analistas en base simplemente a la experiencia y conocimiento que estos posean en sus áreas, no es factible. Esta nueva era digital presenta nuevos desafíos en donde el manejo de la información y el tratamiento de los datos es clave para el desarrollo y la evolución de la sociedad. En particular, en el rubro minero existen problemáticas históricas las cuales han sido difíciles de abordar, pero hoy al tener disponibles datos recopilados diariamente con los diversos software con los cuales cuentan las mineras, se abre una nueva oportunidad para que a través del correcto análisis y procesamiento de los datos, estos puedan ser utilizados de la mano de algoritmos de data mining para predecir comportamientos y poder determinar acciones concretas que permitan realizar mejoras sustanciales en los procesos de la minería chilena.
Nowadays companies and industries collect large volumes of data which are normally used for the generation of reports, however, there is a potential which is not fully exploited, since, analysis of large volumes of data by analysts based simply on the experience and knowledge they possess in their areas, is not feasible. This new digital era presents new challenges where information management and data processing is key to the development and evolution of society. In particular, in the mining sector there are historical problems which have been difficult to address, but today, by having available data collected daily with the various software that are used on mining, a new opportunity is opened so that through the correct analysis and data processing, these can beused by data mining algorithms to predict behaviors and be able to determine concrete actions that allow substantial improvements in the processes of Chilean mining.
Nowadays companies and industries collect large volumes of data which are normally used for the generation of reports, however, there is a potential which is not fully exploited, since, analysis of large volumes of data by analysts based simply on the experience and knowledge they possess in their areas, is not feasible. This new digital era presents new challenges where information management and data processing is key to the development and evolution of society. In particular, in the mining sector there are historical problems which have been difficult to address, but today, by having available data collected daily with the various software that are used on mining, a new opportunity is opened so that through the correct analysis and data processing, these can beused by data mining algorithms to predict behaviors and be able to determine concrete actions that allow substantial improvements in the processes of Chilean mining.
Description
Keywords
MINERIA DE DATOS, BIG DATA, INDUSTRIA MINERA