摘要
GRI是一种能处理数值型数据的关联算法。本文运用GRI关联规则算法,分析影响广州市大学城的大学生集体旅游的一些主观因素和客观因素之间的关联性,挖掘隐含其中的关联规则,并在此基础上,提出适合大学生集体旅游的最佳路线组合：2～3天＋市外＋100～300元＋休闲度假型。
GRI is a kind of association algorithm handling numeric data. The paper uses the algorithm of GRI association rules to make an analysis of the correlation between some subjective and objective factors influencing college students＇ collective tourism in the university town of Guangzhou City to exploit association rules among them, and on this basis, puts forward the best route for college students＇ collective tourism group： 2 - 3 days plus out of the city plus 100 - 300 yuan plus leisure vacation.
出处
《连云港职业技术学院学报》
2014年第4期20-22,共3页
Journal of Lianyungang Technical College
关键词
关联规则
GRI
广州大学生
集体旅游
最佳路线组合
association rules
GRI
Guangzhou college students
collective tourism
best route combination
