• 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