Application of RapidMiner and R Environments to Dangerous Seismic Events Prediction
Marcin Michalak, Katarzyna Dusza, Dominik Korda, Krzysztof Kozłowski, Bartłomiej Szwej, Michał Kozielski, Marek Sikora, Łukasz Wróbel
Citation: Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 8, pages 249–252 (2016)
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.
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