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φ频繁闭项目挖掘问题及其算法
The Problem of φ-Frequency Closed Itemset Mining and Its Algorithm
【摘要】 关联规则挖掘问题是数据挖掘领域一个重要的研究方向 ,φ 关联规则挖掘问题是它的一种推广形式。利用闭项目集的思想 ,提出了 φ 频繁闭项目挖掘问题。它是 φ 关联规则挖掘问题的一种替代 ,并给出了一种有效的挖掘算法 ,有效解决 φ 关联规则挖掘问题中产生大量规则的问题
【Abstract】 Association rule mining is an important research area in data mining, and φ association rule mining is one of its generalizations. Based on closed itemset, a problem of ((frequent closed itemset is studied, which is a substitute of the problem of φ association rule mining. Also, a mining algorithm is presented, which can efficiently solve the problem of generating too many rules in φ association rule mining.
【关键词】 数据库;
数据处理;
φ频繁闭项目集;
关联规则;
数据挖掘;
【Key words】 databases; data processing; φ frequent closed itemset; association rule; data mining;
【Key words】 databases; data processing; φ frequent closed itemset; association rule; data mining;
【基金】 国家自然科学基金资助!(6 0 0 740 14)
- 【文献出处】 西南交通大学学报 ,Journal of Southwest Jiaotong University , 编辑部邮箱 ,2001年03期
- 【分类号】TP311.1
- 【被引频次】8
- 【下载频次】57