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arXiv · 1609.06957

Early Warning System for Seismic Events in Coal Mines Using Machine Learning

Robert Bogucki·Jan Lasek·Jan Kanty Milczek·Michal Tadeusiak
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Abstract

This document describes an approach to the problem of predicting dangerous seismic events in active coal mines up to 8 hours in advance. It was developed as a part of the AAIA'16 Data Mining Challenge: Predicting Dangerous Seismic Events in Active Coal Mines. The solutions presented consist of ensembles of various predictive models trained on different sets of features. The best one achieved a winning score of 0.939 AUC.

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Robert Bogucki, Jan Lasek, Jan Kanty Milczek, Michal Tadeusiak. 2016-09-21. Early Warning System for Seismic Events in Coal Mines Using Machine Learning. https://arxiv.org/abs/1609.06957

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