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基于层次频繁模式树的关联分类规则数据挖掘算法
引用本文:杜永生.基于层次频繁模式树的关联分类规则数据挖掘算法[J].济宁师范专科学校学报,2011(6):76-78.
作者姓名:杜永生
作者单位:济宁学院计算机科学系,山东曲阜273155
摘    要:针对CMAR算法存在的不足,提出了层次频繁模式树的概念,并在此基础上实现了关联分类数:。据挖掘算法.实验数据表明,该方法比CMAR算法具有更高的效率与数据库覆盖面.

关 键 词:数据挖掘  关联分类规则  层次频繁模式树

A Algorithm for Data Mining Associative Classification Rules Based on Hierarchical Frequent Pattern Tree
DU Yongsheng.A Algorithm for Data Mining Associative Classification Rules Based on Hierarchical Frequent Pattern Tree[J].Journal of Jining Teachers College,2011(6):76-78.
Authors:DU Yongsheng
Institution:DU Yongsheng (Department of Computer Science, Jining University, Qufu 273155, China)
Abstract:Aiming at the shortcomings of CMAR algorithm, proposed a hierarchical frequent pattern tree concept, and on the basis of the associative classification algorithm of data mining. Experimental data show that, this method than the CMAR algorithm has higher efficiency and database coverage.
Keywords:data mining  association classification roles  hierarchical frequent pattern tree
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