一种同时具有增量事务和最小支持度变化的关联规则更新算法

Li Sun, Yu-Chen Cai, Jiyun Li, Juntao Lv
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引用次数: 6

摘要

本文提出了一种新的算法FIM_AIUA,该算法同时更新增量事务和最小支持度变化的关联规则。该算法对FIM算法和AIUA算法进行了扩展,提高了效率,纠正了My_IUA算法的错误。并对AIUA算法进行了新的参数修改,提出了一个新的函数fim_aiua_gen(),该函数重写了AIUA算法的函数aiua_gen()。超市的真实交易数据实验表明,本文提出的算法是高效的,优于My_IUA算法和Apriori算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Efficient Algorithm for Updating Association Rules with Incremental Transactions and Minimum Support Changes Simultaneously
This paper proposes a new algorithm FIM_AIUA, which updates association rules with incremental transactions and minimum support changes simultaneously. The algorithm expands FIM algorithm and AIUA algorithm, improves the efficiency and corrects the mistakes of My_IUA algorithm. Moreover, it modifies FIM algorithm with a new argument and presents a new function fim_aiua_gen() that rewrites the function aiua_gen() of AIUA algorithm. Experiments with real transaction data of a supermarket show that our proposed algorithm FIM_AIUA is efficient and outperforms both My_IUA algorithm and Apriori algorithm.
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