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.
@article{arxiv.1609.06957,
title = {Early Warning System for Seismic Events in Coal Mines Using Machine Learning},
author = {Robert Bogucki and Jan Lasek and Jan Kanty Milczek and Michal Tadeusiak},
journal= {arXiv preprint arXiv:1609.06957},
year = {2016}
}
Comments
Winner of AAIA'16 Data Mining Challenge: Predicting Dangerous Seismic Events in Active Coal Mines