• DocumentCode
    2090627
  • Title

    An Association Rules Algorithm Based on Biclustering

  • Author

    Zhang, Min ; Ge, Wenhang ; Hou, Yu

  • Author_Institution
    Coll. of Inf. Eng., Dalian Univ., Dalian, China
  • fYear
    2011
  • fDate
    24-26 Aug. 2011
  • Firstpage
    613
  • Lastpage
    617
  • Abstract
    Existing association rules mining algorithm for small scale data have good results, but with a lot of data collection and storage, will greatly reduce the efficiency of the existing algorithm. In this paper transformed association rules problem into Biclustering problem, complete association rule mining well, its efficiency and complexity of the issues is lower than the Apriori algorithm.
  • Keywords
    data mining; pattern clustering; Apriori algorithm; Biclustering problem; association rules algorithm; data collection; data mining; data storage; Algorithm design and analysis; Association rules; Clustering algorithms; Itemsets; Matrix converters; association rules; biclustering; equivalent model; frequent itemset;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering (CSE), 2011 IEEE 14th International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-1-4577-0974-6
  • Type

    conf

  • DOI
    10.1109/CSE.2011.107
  • Filename
    6062939
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2090627