基于HHUI的旅游产品套餐模式挖掘  

Tourism product package mode mining based on HHUI

作　　者：黄江东 邢进生[1] HUANG Jiangdong;XING Jinsheng(School of Mathematics and Computer Science,Shanxi Normal University,Linfen 041004,China)

机构地区：[1]山西师范大学数学与计算机科学学院,山西临汾041004

出　　处：《现代电子技术》2020年第15期119-122,126,共5页Modern Electronics Technique

基　　金：山西省自然科学基金项目(2015011040);山西省互联网+旅游协同创新中心资助项目(03010033)。

摘　　要：针对效用关联规则容易导致从交易数据中找出高效项目集所指向的产品有价无市的问题,设计了一种HHUI(高效频繁项集),它不仅考虑交易中每个项目的利润和数量,还考虑了旅游产品套餐的热门时间段。提出了一种两阶段的挖掘方法,以有效地发现HHUI。首先,找到每个时间段内可能的候选HHUI;然后,通过再次扫描数据库以找到候选HHUI的实际效益值。实际旅游数据结果表明该方法是有效的。Since the utility association rules are prone to cause the products corresponding to the high utility itemsets found from the transaction data has only nominal price,an HHUI(hot and high utility itemsets)is designed,which takes into account not only the profit and quantity of each item in the transaction,but also the hot time periods of the tourism product package.A two-phased mining algorithm is proposed to find HHUI effectively.The possible candidate HHUI within each time period is found,and then the actual profit of candidate HHUI is found by scanning the database again.Actual tourism data results show that the proposed method is effective.

关 键 词：数据挖掘 关联规则 频繁项集 APRIORI算法 效用挖掘 旅游挖掘 决策支持 

分 类 号：TN911-34[电子电信—通信与信息系统]