TY - GEN
T1 - Predicting dangerous seismic activity with Recurrent Neural Networks
AU - Kurach, Karol
AU - Pawlowski, Krzysztof
N1 - Publisher Copyright:
© 2016 Polish Information Processing Society.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/11/3
Y1 - 2016/11/3
N2 - In this paper we present a solution to the AAIA'16 Data Mining Challenge. The goal of the challenge was to predict, from multivariate time series data, periods of increased seismic activity which may cause life-Threatening accidents in underground coal mines. Our solution is based on Recurrent Neural Network with Long Short-Term Memory cells. It requires almost no feature engineering, which makes it easily applicable to other domains with multivariate time series data. The method achieved the 5th place in the AAIA'16 competition, out of 203 teams.
AB - In this paper we present a solution to the AAIA'16 Data Mining Challenge. The goal of the challenge was to predict, from multivariate time series data, periods of increased seismic activity which may cause life-Threatening accidents in underground coal mines. Our solution is based on Recurrent Neural Network with Long Short-Term Memory cells. It requires almost no feature engineering, which makes it easily applicable to other domains with multivariate time series data. The method achieved the 5th place in the AAIA'16 competition, out of 203 teams.
UR - http://www.scopus.com/inward/record.url?scp=85007197263&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85007197263&partnerID=8YFLogxK
U2 - 10.15439/2016F134
DO - 10.15439/2016F134
M3 - Conference contribution
AN - SCOPUS:85007197263
T3 - Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016
SP - 239
EP - 243
BT - Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016
A2 - Ganzha, Maria
A2 - Paprzycki, Marcin
A2 - Maciaszek, Leszek
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016
Y2 - 11 September 2016 through 14 September 2016
ER -