This paper provides an overview of current models of machine learning from time series and their application for the purpose of predicting the number of tourist visits in the coming period. The emergence of the Covid-19 virus has generally had a major impact on Tourism and has introduced great uncertainty in this area. The application of machine learning and an attempt to predict the number of tourist visits in the coming period, can be useful to those who deal with the offer in this area
This study evaluates whether modelling the existing commont trends in tourism arrivals from all visi...
Tourism is a significant branch of many world economies. Many factors influence the volume of touris...
The main objective of this study is to analyse whether the combination of regional predictions gener...
The machine learning approach has been widely used in many areas of studies, including the tourism s...
The most important underlying reasons for marketing failures are incomplete understanding of custome...
The international tourist movement has overgrown in recent decades, and travelers are considered a s...
The main objective of this study is to analyse whether the combination of regional predictions gener...
Tourist decision to visit attractions is a complex process influenced by multiple factors of indivi...
Tourist decision to visit attractions is a complex process influenced by multiple factors of individ...
The international tourist movement has overgrown in recent decades, and travelers are considered a ...
The number of tourists always fluctuates every month, as happened in Kaliadem Merapi, Sleman. The pu...
With the upgrade of tourism informationization and the rise of intelligent city construction, the In...
Project Work presented as the partial requirement for obtaining a Master's degree in Statistics and...
This study evaluates whether modelling the existing commont trends in tourism arrivals from all visi...
The number of tourists always fluctuates every month, as happened in Kaliadem Merapi, Sleman. The pu...
This study evaluates whether modelling the existing commont trends in tourism arrivals from all visi...
Tourism is a significant branch of many world economies. Many factors influence the volume of touris...
The main objective of this study is to analyse whether the combination of regional predictions gener...
The machine learning approach has been widely used in many areas of studies, including the tourism s...
The most important underlying reasons for marketing failures are incomplete understanding of custome...
The international tourist movement has overgrown in recent decades, and travelers are considered a s...
The main objective of this study is to analyse whether the combination of regional predictions gener...
Tourist decision to visit attractions is a complex process influenced by multiple factors of indivi...
Tourist decision to visit attractions is a complex process influenced by multiple factors of individ...
The international tourist movement has overgrown in recent decades, and travelers are considered a ...
The number of tourists always fluctuates every month, as happened in Kaliadem Merapi, Sleman. The pu...
With the upgrade of tourism informationization and the rise of intelligent city construction, the In...
Project Work presented as the partial requirement for obtaining a Master's degree in Statistics and...
This study evaluates whether modelling the existing commont trends in tourism arrivals from all visi...
The number of tourists always fluctuates every month, as happened in Kaliadem Merapi, Sleman. The pu...
This study evaluates whether modelling the existing commont trends in tourism arrivals from all visi...
Tourism is a significant branch of many world economies. Many factors influence the volume of touris...
The main objective of this study is to analyse whether the combination of regional predictions gener...