@inproceedings{470da90909ca403299f6fe27af3f9327,
title = "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.",
author = "Katarzyna Dusza and Dominik Korda and Krzysztof Kozlowski and Bartlomiej Szwej and Michal Kozielski and Marcin Michalak and Marek Sikora and Lukasz Wrobel",
note = "Publisher Copyright: {\textcopyright} 2016 Polish Information Processing Society.; 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016 ; Conference date: 11-09-2016 Through 14-09-2016",
year = "2016",
month = nov,
day = "3",
doi = "10.15439/2016F188",
language = "English",
series = "Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "249--252",
editor = "Maria Ganzha and Marcin Paprzycki and Leszek Maciaszek",
booktitle = "Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016",
address = "United States",
}