Application of RapidMiner and R environments to dangerous seismic events prediction

Abstract

Underground coal mining is a branch of an industry which safety of operation is very dependent on the natural hazards. A proper seismic event prediction is a significant aspect of building classification models from the real data, which can affect the coal mining safety increase. In this paper four models, built in a well known data mining environments, are presented. The obtained models, depending on a given implementation of popular methods, occurred comparable to the best results from the competition.