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Original Articles

Combination forecasts of tourism demand with machine learning models

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Pages 428-431 | Received 08 Jun 2015, Accepted 28 Jul 2015, Published online: 11 Sep 2015

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Read on this site (5)

Yile Chen, Lina Yan & Liang Zheng. (2023) Intelligent approach to mining cultural tourism potential areas based on YOLOv4: insights from Macau. Journal of Asian Architecture and Building Engineering 0:0, pages 1-29.
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Articles from other publishers (8)

Mingchen Li, Chengyuan Zhang, Shaolong Sun & Shouyang Wang. (2022) A novel deep learning approach for tourism volume forecasting with tourist search data. International Journal of Tourism Research 25:2, pages 183-197.
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Anca-Gabriela Turtureanu, Rodica Pripoaie, Carmen-Mihaela Cretu, Carmen-Gabriela Sirbu, Emanuel Ştefan Marinescu, Laurentiu-Gabriel Talaghir & Florentina Chițu. (2022) A Projection Approach of Tourist Circulation under Conditions of Uncertainty. Sustainability 14:4, pages 1964.
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Jorge Calero-Sanz, Alicia Orea-Giner, Teresa Villacé-Molinero, Ana Muñoz-Mazón & Laura Fuentes-Moraleda. (2022) Predicting A New Hotel Rating System by Analysing UGC Content from Tripadvisor: Machine Learning Application to Analyse Service Robots Influence. Procedia Computer Science 200, pages 1078-1083.
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Elezabeth Mathew & Sherief Abdulla. 2022. Artificial Intelligence and Machine Learning for EDGE Computing. Artificial Intelligence and Machine Learning for EDGE Computing 145 167 .
Chang Gao & Yong Chen. 2022. Information and Communication Technologies in Tourism 2022. Information and Communication Technologies in Tourism 2022 282 296 .
Andreas Stöckl & Ulrich Bodenhofer. 2022. Applied Data Science in Tourism. Applied Data Science in Tourism 209 229 .
Oscar Claveria, Enric Monte & Salvador Torra. (2016) A self-organizing map analysis of survey-based agents׳ expectations before impending shocks for model selection: The case of the 2008 financial crisis. International Economics 146, pages 40-58.
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Feng Qian, Cao Han & Meng Haiyan. (2016) Intelligent model system for tourism flow prediction. Intelligent model system for tourism flow prediction.

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