  In this work, we present an exploratory study of stability of an open pit
mine in the north of Chile with the use of data mining. It is important to note
that the study of slope stability is a subject of great interest to mining
companies, this is due to the importance in the safety of workers and the
protection of infrastructures, whether private or public, in those places
susceptible to this kind of phenomena, as well as, for road slopes and close to
communities or infrastructures, among others. It is also important to highlight
that these phenomena can compromise important economic resources and can even
cause human losses. In our case, this study seeks to increase the knowledge of
these phenomena and thus, try to predict their occurrence, by means of risk
indicators, potentially allowing the mining company supervision to consider
predictive measures. It should be considered that there is no online test that
ensures timely prediction. In previous studies conducted in other mines, it has
been corroborated that the phenomena and factors associated with the movement
of slopes and landslides are extremely complex and highly nonlinear, which is
why the methods associated with the called "data mining", were found to be
ideal for discovering new information in the data, which is recorded
periodically in the continuous monitoring that mining companies have of their
deposits, which allowed to find important correlations for the search of
predictors of these phenomena. Some results, with data coming from different
sources, are presented at the end of this work. We note that according to the
information provided by the mining company, the results were favorable in the
indicators of up to six months, giving as risk areas the correct sectors and
predicting the April 2017 event.
