摘要: 分析了关联规则挖掘Apriori、AprioriTid和AprioriHybrid算法的优缺点,针对AprioriHybrid算法的瓶颈提出了一种使用支持度矩阵对频繁2项集快速验证的方法,并给出了一种简单易行,而又高效的逐步缩减交易数据库的方法,加快了对候选频繁k项集的验证速度,从而显著地提高了AprioriHybrid算法的效率。
关键词:
关联规则,
频繁项集,
AprioriHybrid,
支持度矩阵
Abstract: The paper analyzes the advantages and disadvantages of Apriori, AprioriTid and AprioriHybrid algorithm in mining association rules. To solve the bottle of AprioriHybrid algorithm, a support-matrix method to rapidly verify the 2-frequent itemsets is put forward. To accelerate the verification speed of the k-frequent itemsets, a simple and highly efficient method of minimizing the trade database is given. All these two methods improve the efficiency of AprioriHybrid method evidently.
中图分类号:
秦吉胜,宋瀚涛. 关联规则挖掘AprioriHybrid算法的研究和改进[J]. , 2004, 30(17): 11-.
QIN Jisheng, SONG Hantao. Study and Improvement of AprioriHybrid Algorithm in Mining Association Rules[J]. , 2004, 30(17): 11-.