Tourist arrival forecasting using multiscale mode learning model

HIGHLIGHTS

• who: Kaijian He et al. from the College of Tourism, Hunan Normal University, Changsha, China have published the paper: Tourist Arrival Forecasting Using Multiscale Mode Learning Model, in the Journal: Mathematics 2022, 10, 2999. of 19/08/2022
• what: In this paper a new multiscale mode learning-based tourist arrival forecasting model is proposed to exploit different multiscale data features in tourist arrival movement. It is interesting to see how the focus of the tourism demand forecasting models has gradually shifted from the mostly econometric and time series approach to the more recent artificial_intelligence and . . .
  

   

  

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