Telecommunication Traffic Forecasting via Multi-task Learning

Author:

Gou Xiaochuan1ORCID,Zhang Xiangliang2ORCID

Affiliation:

1. King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

2. University of Notre Dame & King Abdullah University of Science and Technology, Notre Dame, IN, USA

Funder

King Abdullah University of Science and Technology

Publisher

ACM

Reference31 articles.

1. Cellular Traffic Prediction and Classification: A Comparative Evaluation of LSTM and ARIMA

2. Kasun Bandara , Christoph Bergmeir , and Hansika Hewamalage . 2020. LSTM-MSNet: Leveraging forecasts on sets of related time series with multiple seasonal patterns . IEEE transactions on neural networks and learning systems, Vol. 32 , 4 ( 2020 ), 1586--1599. Kasun Bandara, Christoph Bergmeir, and Hansika Hewamalage. 2020. LSTM-MSNet: Leveraging forecasts on sets of related time series with multiple seasonal patterns. IEEE transactions on neural networks and learning systems, Vol. 32, 4 (2020), 1586--1599.

3. Gianni Barlacchi , Marco De Nadai , Roberto Larcher, Antonio Casella, Cristiana Chitic, Giovanni Torrisi, Fabrizio Antonelli, Alessandro Vespignani, Alex Pentland, and Bruno Lepri. 2015 . A multi-source dataset of urban life in the city of Milan and the Province of Trentino. Scientific data, Vol. 2 , 1 (2015), 1--15. Gianni Barlacchi, Marco De Nadai, Roberto Larcher, Antonio Casella, Cristiana Chitic, Giovanni Torrisi, Fabrizio Antonelli, Alessandro Vespignani, Alex Pentland, and Bruno Lepri. 2015. A multi-source dataset of urban life in the city of Milan and the Province of Trentino. Scientific data, Vol. 2, 1 (2015), 1--15.

4. Multi-Horizon Time Series Forecasting with Temporal Attention Learning

5. MDTP

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