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ArticleHierarchical pattern recognition for tourism demand forecasting

Mingming Hu2020

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Articlebronze2020

Hierarchical pattern recognition for tourism demand forecasting

Mingming Hu · Richard T.R. Qiu · Doris Chenguang Wu · Haiyan Song

86 citations·0/0 files stored·Tourism Management

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Forecasting Techniques and Applications Time Series Analysis and Forecasting Traffic Prediction and Management Techniques

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References

1977Time Series Analysis: Forecasting and Control 1971Time Series Analysis Forecasting and Control.n.d.Forecasting principles and practice 1998Forecasting with artificial neural networks:2004Forecasting seasonals and trends by exponentially weighted moving averages 2007Tourism demand modelling and forecasting—A review of recent research 2001Principles of Forecasting 2011Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing

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2021On the Application of ARIMA and LSTM to Predict Order Demand Based on Short Lead Time and On-Time Delivery Requirements 2022Tourism demand forecasting with spatiotemporal features 2021Customer purchase forecasting for online tourism: A data-driven method with multiplex behavior data 2021Are customer reviews just reviews? Hotel forecasting using sentiment analysis 2022An overview of fuzzy multi-criteria decision-making methods in hospitality and tourism industries: bibliometrics, methodologies, applications and future directions

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Year2020

Typearticle

Published2020-12-15

VenueTourism Management

ISSN-L0261-5177

Languageen

Citations86

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.tourman.2020.104263

openalex_workW3113045178

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