摘要
数据挖掘是目前数据库界广泛研究的课题,而频繁项集的挖掘是关联规则挖掘、序列模式挖掘、相关分析挖掘、聚类模式挖掘和回归模式挖掘等问题中的关键步骤.该文介绍了频繁项集挖掘算法的相关概念,对目前频繁项集挖掘典型算法进行了分析和比较,并作出了适当的评价.
Nowadays data mining is a hot issue in the field of database research, and mining frequent itemsets is a key stage in many data mining problems, such as association rules mining, sequential patterns mining, correlation analysis mining, clustering patterns mining, regression patterns mining, and so on. In this paper the author introduces the corresponding concepts of frequent itemsets mining problem, and then analyzes and compares and evaluates current common approaches according to the generation mechanism of frequent itemsets.
出处
《德州学院学报》
2005年第6期65-71,共7页
Journal of Dezhou University
关键词
数据挖掘
关联规则
频繁项集
挖掘算法
data mining
association rules
frequent itemsets
mining algorithm
