摘要
数据库中关联规则挖掘一直是人们研究的热点,而模糊集理论的应用又为这一领域注入了新的活力。文章以此为基点,结合国内外该领域研究的进展情况,对模糊关联规则挖掘研究的技术要点、兴趣度衡量标准等方面进行分析总结,并对其发展前景进行了一定程度的展望。
Mining association rules in databases is the hot point in people's researches and the application of fuzzy-set theory has added new energy into the field.Based on this,combining with the progress of research on the region around the nation and the world,the paper analyzes and concludes the key technologies,interestingness measure standards in mining fuzzy association rules.To some extent ,the paper also gives some predicts on its progress prospects.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第31期181-183,共3页
Computer Engineering and Applications
基金
国家"十五"重大科技攻关课题(编号:2001BA609A-02)
关键词
量化属性
关联规则
模糊集理论
模糊关联规则挖掘
Quantitative attribute,Association rule,Fuzzy-set theory,Mining fuzzy association rules
