• DocumentCode
    402879
  • Title

    Mining conditional hybrid-dimension association rules on the basis of multi-dimensional transaction database

  • Author

    Xin, Yan ; Ju, Shi-guang

  • Author_Institution
    Sch. of Comput. Sci. & Telecommun. Eng., Jiangsu Univ., China
  • Volume
    1
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    216
  • Abstract
    In this paper, we present such an idea of mining hybrid-dimension association rules which meet the definite condition on the basis of multidimensional transaction database. First, we simply introduce the general algorithm for mining association rules. Second, we give a brief analysis about the classical algorithm for mining single-dimensional association rules. Based on the analysis, we stress on the discussion about how to expand and improve the algorithm, and then design an algorithm for mining hybrid-dimension association rules which meet the definite condition from multidimensional transaction database. Last we give a simple example to explain the implement of the algorithm.
  • Keywords
    data mining; database management systems; transaction processing; hybrid-dimension association rules; mining conditional; mining single-dimensional association rules; multidimensional transaction database; Algorithm design and analysis; Association rules; Computer science; Data engineering; Data mining; Itemsets; Iterative algorithms; Multidimensional systems; Space technology; Transaction databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1264473
  • Filename
    1264473