SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks
16 references·0 citing·43 second hopsampled
Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks (2021)Analyzing and Forecasting Tourism Demand …Tourism Demand Forecasting: A Decomposed Deep Learning Approach (2020)Tourism Demand Forecasting: A…Improving Tourist Arrival Prediction: A Big Data and Artificial Neural Network Approach (2020)Improving Tourist Arrival Pre…Tourism demand forecasting: A deep learning approach (2019)Tourism demand forecasting: A…A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting (2019)A review of research on touri…Tourism forecasting: A review of methodological developments over the last decade (2018)Tourism forecasting: A review…Forecasting tourist arrivals with machine learning and internet search index (2018)Forecasting tourist arrivals …Forecasting tourism demand with denoised neural networks (2018)Forecasting tourism demand wi…New developments in tourism and hotel demand modeling and forecasting (2017)New developments in tourism a…Forecasting Seasonal Tourism Demand Using a Multiseries Structural Time Series Method (2017)Forecasting Seasonal Tourism …Forecasting accuracy evaluation of tourist arrivals (2017)Forecasting accuracy evaluati…Forecasting Destination Weekly Hotel Occupancy with Big Data (2016)Forecasting Destination Weekl…Forecasting international city tourism demand for Paris: Accuracy of uni- and multivariate models employing monthly data (2014)Forecasting international cit…A meta-analysis of international tourism demand forecasting and implications for practice (2014)A meta-analysis of internatio…Tourism demand modelling and forecasting—A review of recent research (2007)Tourism demand modelling and …Tourism Demand Forecasting: A Time Varying Parameter Error Correction Model (2006)Tourism Demand Forecasting: A…Neural Network Forecasting of Tourism Demand (2005)Neural Network Forecasting of…Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)Forecasting Economic Time Series (2000)Social Media in Tourism and Hospitality: A Literature Review (2013)Progress and prospects for event tourism research (2015)Big data in tourism research: A literature review (2018)An Almost Ideal Demand System (1980)Time series forecasting using a hybrid ARIMA and neural network model (2003)Another look at measures of forecast accuracy (2006)Forecasting tourism demand with multisource big data (2020)Macroeconomics and Reality (1980)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Micro-economic determinants of tourist expenditure: A quantile regression approach (2015)Using social network and semantic analysis to analyze online travel forums and forecast tourism demand (2019)Statistical analysis of cointegration vectors (1988)Testing the equality of prediction mean squared errors (1997)A review of micro-analyses of tourist expenditure (2010)A Meta-Analysis of International Tourism Demand Elasticities (2014)Asymmetric impact of oil prices, exchange rate, and inflation on tourism demand in Pakistan: new evidence from nonlinear ARDL (2018)Forecasting, Structural Time Series Models and the Kalman Filter (1990)Twitter mood predicts the stock market (2011)Big data: a revolution that will transform how we live, work, and think (2013)Predicting overall customer satisfaction: Big data evidence from hotel online textual reviews (2018)Daily tourism volume forecasting for tourist attractions (2020)Review of tourism forecasting research with internet data (2020)Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review and annotated bibliography (1990)Where Can Tourism-Led Growth and Economy-Driven Tourism Growth Occur? (2018)Tourism productivity and economic growth (2019)Artificial intelligence for hospitality big data analytics: developing a prediction model of restaurant review helpfulness for customer decision-making (2021)Comparing Predictive Accuracy (1994)Numerical distribution functions of likelihood ratio tests for cointegration (1999)Predicting the Present with Google Trends (2012)Time Series Analysis: Forecasting and Control. (1978)Time series analysis forecasting and control (2009)Bayesian BILSTM approach for tourism demand forecasting (2020)The good, the bad and the ugly on COVID-19 tourism recovery (2020)Forecasting with artificial neural networks: (1998)Tourism Demand and the COVID-19 Pandemic: An LSTM Approach (2020)Forecasting tourism recovery amid COVID-19 (2021)Forecasting Daily Tourism Demand for Tourist Attractions with Big Data: An Ensemble Deep Learning Method (2021)Tourism demand forecasting with time series imaging: A deep learning model (2021)Tourism and Hospitality Forecasting With Big Data: A Systematic Review of the Literature (2024)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2007Tourism demand modelling and forecasting—A review of recent research1,419 cited
  • 2019A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting526 cited
  • 2019Tourism demand forecasting: A deep learning approach451 cited
  • 2018Forecasting tourist arrivals with machine learning and internet search index381 cited
  • 2017New developments in tourism and hotel demand modeling and forecasting313 cited
  • 2014A meta-analysis of international tourism demand forecasting and implications for practice262 cited
  • 2016Forecasting Destination Weekly Hotel Occupancy with Big Data229 cited
  • 2006Tourism Demand Forecasting: A Time Varying Parameter Error Correction Model186 cited
  • 2020Tourism Demand Forecasting: A Decomposed Deep Learning Approach179 cited
  • 2014Forecasting international city tourism demand for Paris: Accuracy of uni- and multivariate models employing monthly data165 cited
  • 2020Improving Tourist Arrival Prediction: A Big Data and Artificial Neural Network Approach165 cited
  • 2018Tourism forecasting: A review of methodological developments over the last decade161 cited
  • 2005Neural Network Forecasting of Tourism Demand159 cited
  • 2017Forecasting accuracy evaluation of tourist arrivals

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

154 cited
  • 2018Forecasting tourism demand with denoised neural networks133 cited
  • 2017Forecasting Seasonal Tourism Demand Using a Multiseries Structural Time Series Method113 cited
  • Cited by

    No citing works inside the corpus for this window.