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基于分辨矩阵的关联规则挖掘改进及实现
引用本文:王培吉,赵玉琳,白金牛.基于分辨矩阵的关联规则挖掘改进及实现[J].兰州理工大学学报,2012,38(1):98-101.
作者姓名:王培吉  赵玉琳  白金牛
作者单位:1. 内蒙古科技大学数理与生物工程学院,内蒙古包头,014010
2. 内蒙古第一机械集团公司二分公司,内蒙古包头,014032
3. 内蒙古科技大学包头医学院网络与信息中心,内蒙古包头,014010
摘    要:Apriori算法是关联规则数据挖掘领域中最重要的挖掘方法,针对Apriori算法中挖掘频繁项集的效率问题和产生关联规则的合理性问题,改进相关定义及其使用,并提出改进的Apriori算法,然后将改进算法用于教学评价仿真系统.仿真结果表明,改进算法可高效、合理地挖掘关联规则,为做好课程安排和教学工作提供支持.

关 键 词:分辨矩阵  关联规则  改进  实现

Improvement and implementation of association rules mining based on recognizable matrix
WANG Pei-ji , ZHAO Yu-lin , BAI Jin-niu.Improvement and implementation of association rules mining based on recognizable matrix[J].Journal of Lanzhou University of Technology,2012,38(1):98-101.
Authors:WANG Pei-ji  ZHAO Yu-lin  BAI Jin-niu
Institution:1.School of Mathematics,Physics and Biological Engineering,Inner Mongolia University of Science and Technology,Baotou 014010,China;2.Branch 2,Inner Mongolia First Machinery Group Corporation,Baotou 014032,China;3.Center of Network Information,Baotou Medical College,Baotou 014010,China)
Abstract:Apriori algorithm is the most important algorithm in the field of data mining based on association rules.Aimed at the problems in the Apriori algorithm such as the efficiency of the frequent item-set mining and the reasonableness of the association rule generation,the related definitions and their use were modified and applied.Apriori algorithm was improved and applied in a simulation system of teaching evaluation.The simulation result showed that the improved algorithm would be able to mine the association rules effectively and reasonably,and provide support to course arrangement and teaching work.
Keywords:recognizable matrix  association rules  improvement  implementation
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