摘要
文章结合数学模型及数据挖掘理论，以游客在旅游行程中利用信令数据所产生的海量数据记录（简称XDR数据）为基础，提出了3种对游客旅游特征做描述的核心算法模型，进而利用这三类模型得出的数据，阐述了未来可实现的，诸如景区设施优化管理、旅游线路分类定制设计、旅游线路评估、旅游热点推介及预警等多项应用前景。
Combining with the mathematical model and the theory of data mining, based on massive amounts of the signaling data records produced during a tour （XDR data）, the paper puts forward 3 characteristics of tourist core analysis algorithm model.And then using these three categories of data model, the writer puts forward the future such as scenic facilities optimized management, tourist routes evaluation and the classification of the tourist route design, tourist attractions recommendation and early warning etc..
作者
许曦
XUXi(Chongqing Technology and Business University, Chongqing 400067, Chin)
关键词
移动信令数据
游客行为分析
核心算法
Mobile signaling data
Tourist behavior analysis
Kernel algorithm
