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大型数据库中多层次相联规则的提取
Mining multiplelevel association rules in large databases
【摘要】 针对相联规则的提取,给出算法XL T2L1. 利用概念层次树编码及自顶向下逐步深化的策略发现任意层次概念间的关联,并引入有趣规则的概念,对已发现的大量规则进行精减,便于用户对规则的利用.
【Abstract】 Mining association rules in transactional databases are important problems in KDD. This paper reports an algorithm XLT2L1, which uses concept taxonomy and a top\|down progressive deepening method to find association rules between concepts in different levels, and also introduces the definition of interest rule to prune redundant rules.
【关键词】 关系型数据库/数据挖掘;
相联规则;
概念层次;
【Key words】 relational databases/data mining; association rule; concept taxonomy ;
【Key words】 relational databases/data mining; association rule; concept taxonomy ;
- 【文献出处】 大连理工大学学报 ,JOURNAL OF DALIAN UNIVERSITY OF TECHNOLOGY , 编辑部邮箱 ,1999年06期
- 【分类号】TP311.132
- 【被引频次】4
- 【下载频次】89