Tourism Analytics Before and After COVID-19
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Tourism Analytics Before and After COVID-19
Case Studies from Asia and Europe
Nguwi, Yok Yen
Springer Verlag, Singapore
03/2024
246
Mole
Inglês
9789811993718
15 a 20 dias
Descrição não disponível.
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.
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Data analytics for the Tourism Industry;Data Analytics for COVID-19 Effects on Tourism;Machine Learning Predictive Models for Tourism Management;Recovery of Tourism After COVID-19;Tourism and Big Data
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
