摘要
基于数据挖掘中的关联规则挖掘及Apriori算法,研究了在旅游行业中用挖掘得到的规则对突发事件进行预测的方法.对突发事件进行了预处理,对与突发事件相关的规则进行了挖掘,提出了改进的关联规则算法,并获得了有意义的规则输出,并对这些关联规则在旅游业的应用进行了研究.
Based on the association rules and Apriori algorithm in data mining, this paper discusses the methods in predicting the emergency events in tourism. Preprocessing for the Emergency events and mining the association rules for the emergency events are performed. The improved association rule algorithm is presented and meaningful rules are got and study is made on the application of these rules in tourism industry.
出处
《北京工商大学学报(自然科学版)》
CAS
2008年第1期59-62,共4页
Journal of Beijing Technology and Business University:Natural Science Edition
基金
国家自然科学基金资助项目(60773112)