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https://hdl.handle.net/11147/6020
Title: | Fisher's linear discriminant analysis based prediction using transient features of seismic events in coal mines | Authors: | Köktürk Güzel, Başak Esin Karaçalı, Bilge |
Keywords: | Coal mines Data mining Discriminant analysis Forecasting Information systems Seismic activity |
Publisher: | Institute of Electrical and Electronics Engineers Inc. | Source: | Köktürk Güzel, B. E., and Karaçalı, B. (2016, September). Fisher's linear discriminant analysis based prediction using transient features of Seismic Events in Coal Mines. In M. Ganzha, L. Maciaszek, M. Paprzycki (Eds.), Paper presented at the Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, Gdansk,, Poland (pp. 231-234). New York City : Institute of Electrical and Electronics Engineers. | Abstract: | Identification of seismic activity levels in coal mines is important to avoid accidents such as rockburst. Creating an early warning system that can save lives requires an automated way of predicting. This study proposes a prediction algorithm for the AAIA'16 Data Mining Challenge: Predicting Dangerous Seismic Events in Active Coal Mines that is based on transient activity features along with average indicators evaluated by a Fisher's linear discriminant analysis. Performance evaluation experiments on the training datasets revealed an accuracy level of around 0.9438 while the performance on the test dataset was at a level of 0.9297. These results suggest that the proposed approach achieves high accuracy in predicting danger seismic events while maintaining low complexity. | Description: | 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016; Gdansk; Poland; 11 September 2016 through 14 September 2016 | URI: | http://doi.org/10.15439/2016F116 http://hdl.handle.net/11147/6020 |
ISBN: | 9788360810903 |
Appears in Collections: | Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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