Athanasopoulos, G., Hyndman, R. J., Song, H., & Wu, D. C. (2011). “The tourism forecasting competition”. International Journal of Forecasting, 27(3), 822-844.
Bagheri, M., Shojaei, P., & Khorami, M. (2018). “A comparative survey of the condition of tourism infrastructure in Iranian provinces using VIKOR and TOPSIS”. Decision Science Letters, 7(1), 87-102.
Bangwayo-Skeete, P. F., & Skeete, R. W. (2015). “Can Google data improve the forecasting performance of tourist arrivals? Mixed-data sampling approach”. Tourism Management, 46, 454-464.
Castle, J. L., Fawcett, N. W., & Hendry, D. F. (2009). “Nowcasting is not just contemporaneous forecasting”. National Institute Economic Review, 210(1), 71-89.
Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS quarterly, 1165-1188.
Choi, H., & Varian, H. (2012). “Predicting the present with Google Trends”. Economic record, 88(2012), 2-9.
Croes, R. R., & Vanegas Sr, M. (2005). “An econometric study of tourist arrivals in Aruba and its implications”. Tourism management, 26(6), 879-890.
Dergiades, T., Mavragani, E., & Pan, B. (2018). “Google Trends and tourists' arrivals: Emerging biases and proposed corrections”. Tourism Management, 66, 108-120.
Doornik, J. A. (2009). Improving the timeliness of data on influenza-like illnesses using Google search data. Working paper, 1-21.
Ettredge, M., Gerdes, J., & Karuga, G. (2005). “Using web-based search data to predict macroeconomic statistics”. Communications of the ACM, 48(11), 87-92.
Farashah, M. D. P., Aslani, E., & Khademzade, M. (2018). “Strategic planning of cultural tourism development in historic city of Yazd (case study: Fahadan neighbourhood)”. Almatourism: Journal of Tourism, Culture and Territorial Development, 9(18), 23-44.
Gawlik, E., Kabaria, H., & Kaur, S. (2011). “Predicting tourism trends with Google Insights”. Accessed December, 1, 2012.
Gunter, U., & Önder, I. (2015). “Forecasting international city tourism demand for Paris: Accuracy of uni-and multivariate models employing monthly data”. Tourism management, 46, 123-135.
Jansen, B. J., Spink, A., & Saracevic, T. (2000). “Real life, real users, and real needs: a study and analysis of user queries on the web”. Information processing & management, 36(2), 207-227.
Jones, R., Zhang, W. V., Rey, B., Jhala, P., & Stipp, E. (2008). “Geographic intention and modification in web search”. International Journal of Geographical Information Science, 22(3), 229-246.
Kumar, V., & Reinartz, W. (2018). Data mining. In Customer Relationship Management (pp. 135-155). Springer, Berlin, Heidelberg.
Mueller, J. P., & Massaron, L. (2016). Machine learning for dummies. John Wiley & Sons.
Önder, I. (2017). “Forecasting tourism demand with Google trends: Accuracy comparison of countries versus cities”. International Journal of Tourism Research, 19(6), 648-660.
Smeral, E. (2014). “Forecasting the city hotel market”. Tourism Analysis, 19(3), 339-349.
Song, H., & Li, G. (2008). “Tourism demand modelling and forecasting—A review of recent research”. Tourism management, 29(2), 203-220.
Vu, J. C., & Turner, L. W. (2006). “Regional data forecasting accuracy: The case of Thailand”. Journal of Travel Research, 45(2), 186-193.
Xiang, Z., & Pan, B. (2011). “Travel queries on cities in the United States: Implications for search engine marketing for tourist destinations”. Tourism Management, 32(1), 88-97.
Xu, F., Lin, Y., Huang, J., Wu, D., Shi, H., Song, J., & Li, Y. (2016). “Big data driven mobile traffic understanding and forecasting: A time series approach”. IEEE transactions on services computing, 9(5), 796-805.
Yang, X., Pan, B., Evans, J. A., & Lv, B. (2015). “Forecasting Chinese tourist volume with search engine data”. Tourism Management, 46, 386-397.
Yang, Y., Pan, B., & Song, H. (2014). “Predicting hotel demand using destination marketing organization’s web traffic data”. Journal of Travel Research, 53(4), 433-447.
Zhang, X., & Song, H. (2018). “An integrative framework for collaborative forecasting in tourism supply chains”. International Journal of Tourism Research, 20(2), 158-171.