Association Rule Mining Based on the Multiple-Dimensional Item Attributes

  • Yunfeng Duan
  • Tang Shiwei
  • Yang Dongqing
  • Meina Song
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3289)


The association rule mining is an important topic in recent data mining research. In this paper, a new association rule mining method based on the multiple-dimensional item attributes is proposed through the Market Basket Analysis. The corresponding average weight support is defined, and the AWMAR algorithm is described in detail. Finally, the performance study and results analysis of the improved algorithm is presented. AWMAR algorithm is effective for mining the association rules with acceptable running time.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Yunfeng Duan
    • 1
  • Tang Shiwei
    • 1
  • Yang Dongqing
    • 1
  • Meina Song
    • 2
  1. 1.Peking UniversityBeijingChina
  2. 2.Beijing University of Posts and TelecommunicationsBeijingChina

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