has been cited by the following article(s):
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Customer decision-making analysis based on big social data using machine learning: a case study of hotels in Mecca
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Neural Computing and Applications,
2023 |
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[2]
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Forecast of the Trend in Sales Data of a Confectionery Baking Industry Using Exponential Smoothing and Moving Average Models
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Mathematical …,
2022 |
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[3]
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Prediksi Kunjungan Wisatawan Mancanegara Melalui Pintu Udara Menggunakan ARIMA, Glmnet, dan Prophet
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Techno. Com,
2022 |
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[4]
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Single or Combine? Tourism Demand Volatility Forecasting with Exponential Weighting and Smooth Transition Combining Methods
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Computation,
2022 |
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[5]
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Modelling Tourist Arrivals in South Africa to Assess the Impact of the COVID-19 Pandemic on the Tourism Sector
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African Journal of Hospitality, Tourism and …,
2022 |
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[6]
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The Effect on Forecasting Accuracy of the Holt-Winters Method When Using the Incorrect Model on a Non-Stationary Time Series
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2021 |
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[7]
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Utilisation of Holt-Winters Forecasting Model in Lembaga Zakat Selangor (LZS) For Zakat Collection
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2021 |
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[8]
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Forecast of Gross Output Value of Agriculture and Forestry in Guangxi Based on Holt-Winters Model
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2021 |
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[9]
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SARIMA and Exponential Smoothing model for forecasting ecotourism demand: A case study in National Park Kuala Tahan, Pahang
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2021 |
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[10]
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Forecasting the Malaysian Crude Palm Oil Price during COVID-19 Pandemic.
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Global Business & Management …,
2021 |
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[11]
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Thermal Environments and Visitor Attendance in Zoological Parks: Observations in A Humid Continental Climate
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Journal of Tourismology,
2021 |
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[12]
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IMPLEMENTASI METODE EXPONENTIAL SMOOTHING UNTUK PERAMALAN KEDATANGAN WISATAWAN MANCANEGARA PADA PULAU BALI
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2020 |
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[13]
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" Incredible India"-an empirical confrimation from the Box-Jenkins ARIMA technique
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2019 |
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[14]
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Perbandingan Peramalan Data Pengeluaran Menggunakan Metode Hybrid Sarima Dan Holt Winters Pada Hotel XYZ
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Masters thesis, Universitas Komputer Indonesia,
2019 |
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[15]
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Abd-Rnn: Attention Based Bi-Directional Deep Learning Recurrent Neural Networks for Aquaculture Water Quality Prediction
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[1]
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Customer decision-making analysis based on big social data using machine learning: a case study of hotels in Mecca
Neural Computing and Applications,
2023
DOI:10.1007/s00521-022-07992-x
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[2]
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LSTM and GRU based Accurate Water Quality Prediction for Smart Aquaculture
Journal of Physics: Conference Series,
2023
DOI:10.1088/1742-6596/2466/1/012027
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[3]
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Forecasting the trend of tourism industry in the United States: using ARIMA model and ETS model
Highlights in Business, Economics and Management,
2023
DOI:10.54097/hbem.v10i.7964
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[4]
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Single or Combine? Tourism Demand Volatility Forecasting with Exponential Weighting and Smooth Transition Combining Methods
Computation,
2022
DOI:10.3390/computation10080137
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[5]
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Customer decision-making analysis based on big social data using machine learning: a case study of hotels in Mecca
Neural Computing and Applications,
2022
DOI:10.1007/s00521-022-07992-x
|
|
|
[6]
|
SARIMA and Exponential Smoothing model for forecasting ecotourism demand: A case study in National Park Kuala Tahan, Pahang
Journal of Physics: Conference Series,
2021
DOI:10.1088/1742-6596/1988/1/012118
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