An improved algorithm of Apriori based on transaction compression

Tang Jun-fang
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引用次数: 6

Abstract

In the data mining algorithm, Apriori algorithm is a classical algorithm of association rules. The paper proposed an improved algorithm based on classical Apriori algorithm analyzing. Through compressing transaction database, the improved algorithm record the same number of records by adding an attribute named count, and apply count to count the support of itemsets to increase efficiency and practical experience.
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基于事务压缩的Apriori改进算法
在数据挖掘算法中,Apriori算法是一种经典的关联规则算法。本文在经典Apriori算法分析的基础上提出了一种改进算法。改进算法通过对事务数据库进行压缩,增加一个名为count的属性来记录相同数量的记录,并利用count来计算项集的支持度,提高了效率和实践经验。
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