DocumentCode :
683820
Title :
CSRule: Efficient mining of closed strong association rules in the resource effectiveness matrix
Author :
Lihua Zhang ; Zhengjun Zhai ; Miao Wang ; Guoqing Wang
Author_Institution :
Sch. of Comput. Sci. & Eng., Northwestern Polytech. Univ., Xian, China
fYear :
2013
fDate :
16-18 Dec. 2013
Firstpage :
666
Lastpage :
671
Abstract :
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.
Keywords :
aerospace computing; algorithm theory; avionics; data mining; genetic algorithms; CSRule algorithm; closed strong association rule mining; pruning strategies; resource effectiveness matrix; resource failure mining; Algorithm design and analysis; Association rules; Correlation; Merging; Software algorithms; Surface acoustic waves; association rule; closed; resource;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2013 6th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2760-9
Type :
conf
DOI :
10.1109/BMEI.2013.6747023
Filename :
6747023
Link To Document :
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