Font Size: a A A

Research On The Wisdom Tourism Route Of Zhoushan Based On Data Mining

Posted on:2020-12-24Degree:MasterType:Thesis
Country:ChinaCandidate:T H SunFull Text:PDF
GTID:2428330572488639Subject:Agriculture
Abstract/Summary:PDF Full Text Request
This thesis studies the wisdom tourism routes of zhoushan based on data mining,analyzes the practice of data mining in the wisdom tourism routes of zhoushan,and proposes the design scheme of the wisdom tourism routes management of zhoushan based on data mining.From the data mining level,analysis zhoushan wisdom tourism route specific planning.Zhoushan tourism as a APP wisdom,the zhoushan tourist route information collection and processing,aiming at the existing in zhoushan wisdom eight basic information analysis of zhoushan tourism line,and the specific use of information data in the cluster analysis,decision tree method,naive bayesian segmentation model tourist route information management,aiming at zhoushan wisdom tourist routes to process analysis,data mining course evaluation results are obtained.According to the existing tour routes of zhoushan islands in zhoushan wisdom tourism,route management is carried out.With the existing tour routes of zhoushan wisdom APP,the construction of route management module and route identification system is proposed,and the design scheme of alternative routes and priority routes is made.The results show that zhoushan intelligent tourism route management has the basic conditions for implementing data mining,that is,zhoushan intelligent tourism can implement data mining technology for routes.Data mining is of great significance to the management of zhoushan wisdom route.Data mining can effectively improve the management level of zhoushan wisdom tourism route.However,based on the existing information construction of zhoushan smart tourism,in the process of data mining of zhoushan smart tourism routes,attention should be paid to strengthening the maintenance and update of backstage database,further improving the information management mechanism of tourism routes,and improving the talent allocation of information management system,thereby improving the competitiveness of zhoushan smart tourism service.
Keywords/Search Tags:Data mining, Wisdom tourism, Cluster analysis, Decision tree method
PDF Full Text Request
Related items