Tourism E-commerce System Based On Data Mining Research And Realization

With the rapid socio-economic development, the living standard of the people is enhanced increasing. Tourism is an unprecedented momentum of development, tourism. E-commerce has also been considerable development. At the same time, competition among tourism service providers has become more severe up. How to integrate tourism resources and reasonable to form a stable customer base, competition has become a hot tourist business. The effective application of data mining technology to the travel e-commerce systems, and then which can offer a personalized access interface for travel consumers by data mining integration technology,Undoubtedly which can provide an competitiveness and effective ways and means for tourism service providers.In the thesis the kinds of problems are studied which emerge on the current status of domestic and international tourism development of electronic commerce by data mining techniques. The thesis builds an e-commerce system based on B/S structure mode personalized travel. This thesis introduces the development of tourism the status of e-commerce at home and abroad and researches and analysis of data definitions and methods of mining. And it focuses on the classic Apriori association rules algorithm in the study and research, which details the application of the travel method in the tourism query subsystem, by which can make travel data mining technology into other modules of the business systems, Thus a personalized and conformed to the consumer business system will be formed.The final chapter of this issue, based on data mining applications, which uses Web Services technology, ASP.NET and other technologies to complete the overall design of tourism business systems, and to the functiong modules which are designed and realized in detail. The data mining system will be really implmented in the tourism business.