Tourism Analytics Before and After COVID-19 Case Studies from Asia and Europe /
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | |
| Περίληψη: | VIII, 246 p. 243 illus., 223 illus. in color. text |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
|
| Έκδοση: | 1st ed. 2023. |
| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.1007/978-981-19-9369-5 |
| Μορφή: | Ηλεκτρονική πηγή Βιβλίο |
Πίνακας περιεχομένων:
- 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.