crossrefFuture Internet2023-07-30Cited by 379
A Review of ARIMA vs. Machine Learning Approaches for Time Series Forecasting in Data Driven Networks
Vaia I. Kontopoulou, Athanasios D. Panagopoulos, Ioannis Kakkos, George K. Matsopoulos
In the broad scientific field of time series forecasting, the ARIMA models and their variants have been widely applied for half a century now due to their mathematical simplicity and flexibility in application. However, with the recent advances in the development and efficient de…