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How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 213, 页码: 9
Authors:  Sun, Shaolong;  Hu, Mengyuan;  Wang, Shouyang;  Zhang, Chengyuan
Favorite  |  View/Download：62/0  |  Submit date：2023/02/07
Tourism demand forecasting  Search engine data  Two -stage feature selection  Genetic algorithm  Kernel extreme learning machine  
IMPROVING MULTI-STEP AHEAD TOURISM DEMAND FORECASTING: A STRATEGY-DRIVEN APPROACH 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 34
Authors:  Sun, Shaolong;  Du, Zongjuan;  Zhang, Chengyuan;  Wang, Shouyang
Favorite  |  View/Download：21/0  |  Submit date：2023/02/07
Tourism demand forecasting  Multi-step ahead strategies  MIMO  DIRMO  Extreme learning machine  
Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 12
Authors:  Sun, Shaolong;  Li, Mingchen;  Wang, Shouyang;  Zhang, Chengyuan
Favorite  |  View/Download：24/0  |  Submit date：2023/02/07
Tourism demand  Multi -step ahead forecasting  Privileged information  Machine learning  Kernel random vector functional link network  
Multi-scale analysis-driven tourism forecasting: insights from the peri-COVID-19 期刊论文
CURRENT ISSUES IN TOURISM, 2022, 页码: 24
Authors:  Li, Mingchen;  Zhang, Chengyuan;  Wang, Shouyang;  Sun, Shaolong
Favorite  |  View/Download：23/0  |  Submit date：2023/02/07
Tourism demand forecasting  divide and conquer  Facebook prophet  deep learning  peri-COVID-19 era  
Daily tourism demand forecasting: the impact of complex seasonal patterns and holiday effects 期刊论文
CURRENT ISSUES IN TOURISM, 2022, 页码: 20
Authors:  Liu, Yunhao;  Feng, Gengzhong;  Chin, Kwai-Sang;  Sun, Shaolong;  Wang, Shouyang
Favorite  |  View/Download：121/0  |  Submit date：2022/06/21
Tourism demand forecasting  daily tourism demand  holiday effects  seasonal patterns  FB Prophet  
Seasonal and trend forecasting of tourist arrivals: An adaptive multiscale ensemble learning approach 期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2022, 页码: 18
Authors:  Xing, Guangyuan;  Sun, Shaolong;  Bi, Dan;  Guo, Ju-e;  Wang, Shouyang
Favorite  |  View/Download：77/0  |  Submit date：2022/04/02
ensemble learning  least square support vector regression  seasonality  tourism demand forecasting  variational mode decomposition  
Forecasting Tourism Demand With a New Time-Varying Forecast Averaging Approach 期刊论文
JOURNAL OF TRAVEL RESEARCH, 2021, 页码: 19
Authors:  Sun, Yuying;  Zhang, Jian;  Li, Xin;  Wang, Shouyang
Favorite  |  View/Download：73/0  |  Submit date：2022/04/02
forecast combination  nonparametric estimation  structural changes  tourism demand  time-varying jackknife model averaging  
Decomposition Methods for Tourism Demand Forecasting: A Comparative Study 期刊论文
JOURNAL OF TRAVEL RESEARCH, 2021, 页码: 18
Authors:  Zhang, Chengyuan;  Li, Mingchen;  Sun, Shaolong;  Tang, Ling;  Wang, Shouyang
Favorite  |  View/Download：77/0  |  Submit date：2022/04/02
tourism demand forecasting  decomposition methods  variational mode decomposition  decomposition and ensemble  machine learning  
Tourism demand forecasting: An ensemble deep learning approach 期刊论文
TOURISM ECONOMICS, 2021, 页码: 29
Authors:  Sun, Shaolong;  Li, Yanzhao;  Guo, Ju-e;  Wang, Shouyang
Favorite  |  View/Download：87/0  |  Submit date：2021/10/26
bagging  economic variables  ensemble deep learning  search intensity index  stacked autoencoder  tourism demand forecasting  
A new decomposition ensemble approach for tourism demand forecasting: Evidence from major source countries in Asia-Pacific region 期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2021, 页码: 14
Authors:  Zhang, Chengyuan;  Jiang, Fuxin;  Wang, Shouyang;  Sun, Shaolong
Favorite  |  View/Download：134/0  |  Submit date：2021/04/26
artificial intelligence  Asia‐  Pacific region  decomposition ensemble approach  NA‐  MEMD  tourism demand forecasting