An Analysis and Forecast of Tourism Demand Based on Web Data Mining in China
نویسندگان
چکیده
This article explored into the advantages of Web data application in forecasting tourism demand in China. The authors constructed a mapping relation between Web information organization and tourism demand, and elaborated the methods of using Web data mining Carries to analyze and forecast tourism demands and the principles of constructing the knowledge library based on Web data analysis with clarified procedures of analysis and forecast. The authors also did an empirical analysis by taking Shanghai city as a case in point.
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