Mining Closed Strong Association Rules by Rule-growth in Resource Effectiveness Matrix

摘要

Association rules mining approach can find the relationship among items. Using association rules mining algorithm to mine resource fault, can reduce the number of wrong alarm resources to be replaced. This paper proposed an efficient association rules mining algorithm: CSRule, for mining closed strong association rules based on association rule merging strategies. CSRule algorithm adopts several pruning strategies to mine closed strong association rules without storing the candidate set. To improve the mining efficiency, CSRule algorithm adopts effective pruning strategies to mine closed strong association rules in real time, instead of secondary mining only through the definition. The experimental results show our algorithm is more efficient than traditional algorithm.