• DocumentCode
    389257
  • Title

    Mining association rule oriented data cube and its application

  • Author

    Shi, Hong ; Ji-Fu Zhang ; Zheng, Liann

  • Author_Institution
    Dept of Comput. Sci. & Eng., Taiyuan Heavy Machinery Inst., China
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    705
  • Abstract
    The data warehouses oriented data mining is one of the hot studies in the data mining field, which can improve the mining efficiency, and simplify the mining process. At present some effective platforms for mining have been proposed, but those are versatile and are not aimed at the characteristic of a particular mining task, and thus restrict the mining efficiency. For the question of mining association rules, we present a model of a mining association rule oriented data cube through analyzing the characteristic of the mining association rule and OLAP. The model has been proved correct and feasible by analyzing an application example.
  • Keywords
    data mining; data models; OLAP; association rule oriented data cube; data warehouses oriented data mining; model analysis; question analysis; Application software; Association rules; Clustering algorithms; Data analysis; Data engineering; Data mining; Data warehouses; Interference; Multidimensional systems; Synthetic aperture sonar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
  • Print_ISBN
    0-7803-7508-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2002.1174439
  • Filename
    1174439