【摘要】 该文研究了矩阵在数据库关联规则挖掘中的应用,针对Apriori算法的缺陷及布尔型数据的特点,通过实例分析并阐述了矩阵的生成、利用矩阵运算获得频繁项集及产生关联规则的过程,并对挖掘过程中求最大频繁项集的方法进行了简要说明。更多还原

【Abstract】 This paper studies the application of matrix in the database association rules mining, Aiming at the problems of Apriori algorithm and the characteristics of boolean data, Through the analysis of an example and expounds the formation process of matrix, Using matrix to obtain the frequent itemsets and association rule generation process, A brief description of the maximal frequent itemsets method in the process of mining.更多还原