APA (7th ed.) Citation

Bi, J., Li, C., Xu, H., & Li, H. (2022). Forecasting Daily Tourism Demand for Tourist Attractions with Big Data: An Ensemble Deep Learning Method. Journal of travel research, 61(8), 1719-1737. https://doi.org/10.1177/00472875211040569

Chicago Style (17th ed.) Citation

Bi, Jian-Wu, Chunxiao Li, Hong Xu, and Hui Li. "Forecasting Daily Tourism Demand for Tourist Attractions with Big Data: An Ensemble Deep Learning Method." Journal of Travel Research 61, no. 8 (2022): 1719-1737. https://doi.org/10.1177/00472875211040569.

MLA (9th ed.) Citation

Bi, Jian-Wu, et al. "Forecasting Daily Tourism Demand for Tourist Attractions with Big Data: An Ensemble Deep Learning Method." Journal of Travel Research, vol. 61, no. 8, 2022, pp. 1719-1737, https://doi.org/10.1177/00472875211040569.