SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Forecasting Daily Tourism Demand for Tourist Attractions with Big Data: An Ensemble Deep Learning Method
16 references·1 citing·47 second hop
Forecasting Daily Tourism Demand for Tourist Attractions with Big Data: An Ensemble Deep Learning Method (2021)Forecasting Daily Tourism Demand for Tour…Bayesian BILSTM approach for tourism demand forecasting (2020)Bayesian BILSTM approach for …Tourism demand forecasting: A deep learning approach (2019)Tourism demand forecasting: A…Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index (2018)Effective tourist volume fore…New developments in tourism and hotel demand modeling and forecasting (2017)New developments in tourism a…Forecasting tourism demand with composite search index (2016)Forecasting tourism demand wi…Forecasting Destination Weekly Hotel Occupancy with Big Data (2016)Forecasting Destination Weekl…Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm (2014)Forecasting holiday daily tou…Forecasting Chinese tourist volume with search engine data (2014)Forecasting Chinese tourist v…Can Google data improve the forecasting performance of tourist arrivals? Mixed-data sampling approach (2014)Can Google data improve the f…Forecasting monthly and quarterly time series using STL decomposition (2011)Forecasting monthly and quart…Modelling multivariate international tourism demand and volatility (2004)Modelling multivariate intern…Building and testing theories of decision making by travellers (2004)Building and testing theories…Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention (2002)Modeling and forecasting tour…A model of tourism destination choice: a theoretical and empirical analysis (2002)A model of tourism destinatio…Comparing Predictive Accuracy (1995)Comparing Predictive AccuracyThe Study of International Tourism Demand: A Review of Findings (1994)The Study of International To…Enhancing tourism demand forecasting with a transformer-based framework (2024)Enhancing tourism demand fore…Time Series Analysis: Forecasting and Control (1977)Industrial and business forecasting methods (1982)Forecasting tourism demand: A review of empirical research (1995)Support vector regression with genetic algorithms in forecasting tourism demand (2006)COVID–19’s Impact on Stock Prices Across Different Sectors—An Event Study Based on the Chinese Stock Market (2020)Forecasting tourism recovery amid COVID-19 (2021)A New Approach to Consumer Theory (1966)A New Approach to Consumer Theory (1976)The influence of distance and prices on the choice of tourist destinations: The moderating role of motivations (2006)Social Media in Destination Choice: Distinctive Electronic Word-of-Mouth Dimensions (2013)A multidimensional analysis of the information sources construct and its relevance for destination image formation (2014)Business Research Methods (2022)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)The impact of the perception of risk on international travellers (2007)Risk, uncertainty and the theory of planned behavior: A tourism example (2009)Consumer behaviour in tourism: Concepts, influences and opportunities (2013)Tourism demand modelling and forecasting—A review of recent research (2007)The impact of financial development on carbon emissions: An empirical analysis in China (2011)Predicting the Present with Google Trends (2012)A Big Data Analytics Method for Tourist Behaviour Analysis (2016)Forecasting tourist arrivals with machine learning and internet search index (2018)Comparing Predictive Accuracy (1994)In Search of Attention (2011)Forecasting sales in the supply chain: Consumer analytics in the big data era (2018)Forecasting tourism demand with multisource big data (2020)Economia Internazionale. (1960)THE CONCEPT OF A TOURIST AREA CYCLE OF EVOLUTION: IMPLICATIONS FOR MANAGEMENT OF RESOURCES (1980)A meta-analysis of tourism demand (1995)Determinants of international tourism: a three-dimensional panel data analysis (2004)Finance and Development (2005)The length of stay in tourism (2010)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Big data: a revolution that will transform how we live, work, and think (2013)Progress in information technology and tourism management: 30 years on and 20 years after the internet - Revisiting Buhalis & Law's landmark study about eTourism (2018)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)Time Series Analysis: Forecasting and Control. (1978)Time series analysis forecasting and control (2009)The good, the bad and the ugly on COVID-19 tourism recovery (2020)Testing the equality of prediction mean squared errors (1997)Consumption, Aggregate Wealth, and Expected Stock Returns (2001)Deep learning with long short-term memory networks for financial market predictions (2017)
this work references cited by second hop

References

  • 1995Comparing Predictive Accuracy5,214 cited
  • 2004Building and testing theories of decision making by travellers874 cited
  • 1994The Study of International Tourism Demand: A Review of Findings455 cited
  • 2019Tourism demand forecasting: A deep learning approach451 cited
  • 2014Forecasting Chinese tourist volume with search engine data432 cited
  • 2002Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention424 cited
  • 2002A model of tourism destination choice: a theoretical and empirical analysis385 cited
  • 2016Forecasting tourism demand with composite search index369 cited
  • 2014Can Google data improve the forecasting performance of tourist arrivals? Mixed-data sampling approach331 cited
  • 2017New developments in tourism and hotel demand modeling and forecasting313 cited
  • 2014Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm293 cited
  • 2018Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index248 cited
  • 2020Bayesian BILSTM approach for tourism demand forecasting235 cited
  • 2016Forecasting Destination Weekly Hotel Occupancy with Big Data229 cited
  • 2011

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

Forecasting monthly and quarterly time series using STL decomposition
226 cited
  • 2004Modelling multivariate international tourism demand and volatility216 cited
  • Cited by

    • 2024Enhancing tourism demand forecasting with a transformer-based framework52 cited