• DocumentCode
    3260884
  • Title

    Association Bundle - A New Pattern for Association Analysis

  • Author

    Huang, Wenxue ; Krneta, Milorad ; Lin, Limin ; Wu, Jianhong

  • Author_Institution
    Generation5 Math. Technol., Inc., Toronto, Ont.
  • fYear
    2006
  • fDate
    Dec. 2006
  • Firstpage
    601
  • Lastpage
    605
  • Abstract
    In this paper we introduce the notion of association bundle as a new pattern for association analysis. Different from association rule which has the one-way association from rule antecedent to rule consequent, an association bundle has the two-way association between each pair of bundle elements. Association bundles present a more compact association pattern than association rules, and have meaningful interpretations in marketing applications including shelf arrangement and cross-selling by discounting. The identification of association bundles can be transformed into the problem of maximal clique enumeration, and very efficient algorithms can be applied. Our experimental results show that the time cost is less than two minutes on three real world data sets
  • Keywords
    data mining; pattern classification; association analysis; association bundle; maximal clique enumeration; Association rules; Costs; Mathematics; Pattern analysis; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    0-7695-2702-7
  • Type

    conf

  • DOI
    10.1109/ICDMW.2006.33
  • Filename
    4063697