Tran Kim Toai, Roman Senkerik, Ivan Zelinka, Adam Ulrich, Vo Thi Xuan Hanh, Vo Minh Huan. ARIMA for Short-Term and LSTM for Long-Term in Daily Bitcoin Price Prediction. In Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada, editors, Artificial Intelligence and Soft Computing - 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part I. Volume 13588 of Lecture Notes in Computer Science, pages 131-143, Springer, 2022. [doi]
@inproceedings{ToaiSZUHH22,
title = {ARIMA for Short-Term and LSTM for Long-Term in Daily Bitcoin Price Prediction},
author = {Tran Kim Toai and Roman Senkerik and Ivan Zelinka and Adam Ulrich and Vo Thi Xuan Hanh and Vo Minh Huan},
year = {2022},
doi = {10.1007/978-3-031-23492-7_12},
url = {https://doi.org/10.1007/978-3-031-23492-7_12},
researchr = {https://researchr.org/publication/ToaiSZUHH22},
cites = {0},
citedby = {0},
pages = {131-143},
booktitle = {Artificial Intelligence and Soft Computing - 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part I},
editor = {Leszek Rutkowski and Rafal Scherer and Marcin Korytkowski and Witold Pedrycz and Ryszard Tadeusiewicz and Jacek M. Zurada},
volume = {13588},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-23492-7},
}