Tourism Analytics Before and After COVID-19 Case Studies from Asia and Europe /
| Institution som forfatter: | |
|---|---|
| Andre forfattere: | |
| Summary: | VIII, 246 p. 243 illus., 223 illus. in color. text | 
| Sprog: | engelsk | 
| Udgivet: | Singapore :
          Springer Nature Singapore : Imprint: Springer,
    
        2023. | 
| Udgivelse: | 1st ed. 2023. | 
| Fag: | |
| Online adgang: | https://doi.org/10.1007/978-981-19-9369-5 | 
| Format: | Electronisk Bog | 
                Indholdsfortegnelse: 
            
                  - Impacts on aviation and accommodation in Europe using deep learning machine learning
- Time series model tourism forecasting, the case for Hainan, China
- Impacts on Covid on Singapore’s hotel industry and pricing strategy
- Inbound tourist analysis on arrival and length of stay distribution, the case for Indonesian tourists
- Modeling tourism in Hong Kong using Ridge Linear Regression, Support Vector Machine and XGBoost approach
- Analytics on the prediction of hotel booking cancellation, the case for Portugal hotels.