CSRule:在资源有效性矩阵中高效挖掘封闭强关联规则

Lihua Zhang, Zhengjun Zhai, Miao Wang, Guoqing Wang
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引用次数: 0

摘要

关联规则用于资源故障挖掘,可以减少需要替换的错误告警资源数量。本文提出了一种基于合并策略的封闭强关联规则挖掘算法CSRule。首先,生成只有两个资源的所有关联规则对;其次,采用合并策略对所有封闭强关联规则进行处理。为了提高算法的挖掘效率,CSRule算法采用了多种修剪策略来挖掘封闭的强关联规则,无需维护候选规则。为了避免基于定义的二次挖掘效率低的问题,CSRule算法可以一次挖掘封闭强关联规则。实验结果表明,该算法比传统算法效率更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CSRule: Efficient mining of closed strong association rules in the resource effectiveness matrix
Association rules which are used to mine resource failure, can reduce the number of wrong alarm resources to be replaced. In this paper, we proposed an efficient algorithm: CSRule, for mining closed strong association rules based on merging strategies. Firstly, it generates all pairs of association rules which only have two resources; secondly, all the closed strong association rules are mind using merging strategies. In order to improve the mining efficiency of the algorithm, CSRule algorithm adopts several pruning strategies to mine closed strong association rules without candidate maintenance. For the escape of low efficiency on secondary mining based on definition, CSRule algorithm can mine closed strong association rules at one time. The experimental results show our algorithm is more efficient than traditional algorithm.
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