计算机应用与软件2018，Vol.35Issue(5)：55-61,7.DOI:10.3969/j.issn.1000-386x.2018.05.010
基于OLAP和聚类分析的关联规则挖掘方法
ASSOCIATION RULES MINING METHOD BASED ON OLAP AND CLUSTERING ANALYSIS
摘要
Abstract
In order to overcome the current association rules mining method to get the association rules set is too large,and the user cannot understand the phenomenon because there is no objection,this paper presented the concept of user interest and user interest dimension members,which was used to express the user's concern about the data analysis object of transactional concentration, so as to combine the association rules mining algorithm and the user's analysis intention.It further gave the technique of association rules mining based on OLAP operation and clustering analysis in data warehouse environment.The new association rules mining technique combined OLAP and clustering analysis in the current data mining environment with the current association rules mining method.Compared with the existing methods, the number of the association rules excavated is reduced and the association rules of the data analysis objects that the user paid attention to can be truly tapped.关键词
OLAP/聚类分析/关联规则/数据挖掘Key words
OLAP/Clustering analysis/Association rules/Data mining分类
信息技术与安全科学引用本文复制引用
熊中敏,朱春卫,郭振辉,陈明..基于OLAP和聚类分析的关联规则挖掘方法[J].计算机应用与软件,2018,35(5):55-61,7.基金项目
上海市科委科技支撑项目(14391901400) （14391901400）
2016年度上海市大学生创新计划项目. （）
