Enhancing Visitor Forecasting with Target-Concatenated Autoencoder and Ensemble Learning
Accurate forecasting of inbound visitor numbers is crucial for effective planning and resource allocation in the tourism industry.Preceding forecasting algorithms primarily focused on time series analysis, often overlooking influential factors such as economic conditions.Regression models, on the other hand, face challenges when dealing with high-d