摘要
对旅游城市的旅游信息深度数据挖掘进行研究有助于提升城市的整体旅游水平。提出一种基于非规则流重构权的三亚旅游信息并发挖掘方法,以非规则流多模态表征游客对于景点选择的不同流向趋势,在非规则流多模态下,通过对于游客期望,目的地形象,游客旅游动机,满意度等几个关键旅游信息的重构权加权,实现最佳匹配度下的游客抉择,同时,建立并发挖掘模型,在非规则流重构权下,对所有景点的信息进行融合挖掘,实现全局最优并发挖掘。采用三亚的5个景点作为研究对象,结果显示,采用该算法进行旅游信息挖掘,每个景点的预测结果误差均在2%以内,对于景点游客预测具有很好的应用价值。
For the tourism city, the multiple concurrent data mining helps to improve the level of local tourism development. Sanya tourism information mining is proposed based on concurrent data mining method of irregular flow reconstruction right, the irregular flow of multi-modal characterization is selected for different flow trends in multi-modal irregular flow, through the tourist expectations, purpose weighted to reconstruct, travel motivation, satisfaction, and several other key tour-ist information, the tourist choice is achieved with the best match of the next, while the establishment of concurrent mining model, under irregular flow reconstruction right, all attractions information is fused and the global optimal concurrent min-ing is achieved. Five attractions in Sanya are taken as the research object, the results show that the prediction error for each attraction is limited in 2%, it has good value for the attractions visitors prediction.
出处
《科技通报》
北大核心
2014年第10期196-198,共3页
Bulletin of Science and Technology
基金
2012年海南省自然科学基金项目(612127)
2013年海南省高等学校科学研究项目(Hjkj2013-42)
关键词
旅游
并发挖掘
非规则
重构权
tourism
concurrent mining
irregular
reconstructed right
