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Support vector regression with genetic algorithms in forecasting tourism demand
4 references·16 citing·42 second hop
Support vector regression with genetic algorithms in forecasting tourism demand (2006)Support vector regression with genetic al…Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention (2002)Modeling and forecasting tour…Application of support vector machines in financial time series forecasting (2001)Application of support vector…Forecasting with Univariate Box - Jenkins Models : concepts and cases (1983)Forecasting with Univariate B…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Using SARIMA–CNN–LSTM approach to forecast daily tourism demand (2021)Using SARIMA–CNN–LSTM approac…Improving Tourist Arrival Prediction: A Big Data and Artificial Neural Network Approach (2020)Improving Tourist Arrival Pre…Forecasting tourism demand with multisource big data (2020)Forecasting tourism demand wi…New developments in tourism and hotel demand modeling and forecasting (2017)New developments in tourism a…Google Trends and tourists' arrivals: Emerging biases and proposed corrections (2017)Google Trends and tourists' a…Tourism Demand Forecasting with Neural Network Models: Different Ways of Treating Information (2014)Tourism Demand Forecasting wi…Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm (2014)Forecasting holiday daily tou…A meta-analysis of international tourism demand forecasting and implications for practice (2014)A meta-analysis of internatio…Tourism demand forecasting using novel hybrid system (2013)Tourism demand forecasting us…Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting (2013)Multiple-output support vecto…Multi-step-ahead time series prediction using multiple-output support vector regression (2013)Multi-step-ahead time series …Integration of nonlinear independent component analysis and support vector regression for stock price forecasting (2012)Integration of nonlinear inde…The Methodological Progress of Tourism Demand Forecasting: A Review of Related Literature (2011)The Methodological Progress o…Combining linear and nonlinear model in forecasting tourism demand (2011)Combining linear and nonlinea…Tourism demand for Italy and the business cycle (2009)Tourism demand for Italy and …Forecasting tourism demand with ARMA-based methods (2008)Forecasting tourism demand wi…Industrial and business forecasting methods (1982)Forecasting tourism demand: A review of empirical research (1995)Can Google data improve the forecasting performance of tourist arrivals? 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(1978)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Let Photos Speak: The Effect of User-Generated Visual Content on Hotel Review Helpfulness (2021)Tourism demand forecasting with online news data mining (2021)Tourism demand forecasting using tourist-generated online review data (2022)Testing for Serial Correlation in Least-Squares Regression When Some of the Regressors are Lagged Dependent Variables (1970)Forecasting Economic Time Series (2000)A simulation study of artificial neural networks for nonlinear time-series forecasting (2001)Earthquake devastation and recovery in tourism: the Taiwan case (2002)A fusion model of HMM, ANN and GA for stock market forecasting (2006)Support vector machine with adaptive parameters in financial time series forecasting (2003)Forecasting stock market movement direction with support vector machine (2004)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Generalized autoregressive conditional heteroskedasticity (1986)
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References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 2001Application of support vector machines in financial time series forecasting1,270 cited
  • 2002Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention424 cited
  • 1983Forecasting with Univariate Box - Jenkins Models : concepts and cases402 cited

Cited by

  • 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
  • 2014A meta-analysis of international tourism demand forecasting and implications for practice262 cited
  • 2020Forecasting tourism demand with multisource big data260 cited
  • 2013Multi-step-ahead time series prediction using multiple-output support vector regression240 cited
  • 2008Forecasting tourism demand with ARMA-based methods208 cited
  • 2013Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting197 cited
  • 2020Improving Tourist Arrival Prediction: A Big Data and Artificial Neural Network Approach165 cited
  • 2011Combining linear and nonlinear model in forecasting tourism demand163 cited
  • 2012Integration of nonlinear independent component analysis and support vector regression for stock price forecasting

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136 cited
  • 2017Google Trends and tourists' arrivals: Emerging biases and proposed corrections135 cited
  • 2014Tourism Demand Forecasting with Neural Network Models: Different Ways of Treating Information131 cited
  • 2021Using SARIMA–CNN–LSTM approach to forecast daily tourism demand130 cited
  • 2009Tourism demand for Italy and the business cycle119 cited
  • 2011The Methodological Progress of Tourism Demand Forecasting: A Review of Related Literature112 cited
  • 2013Tourism demand forecasting using novel hybrid system109 cited