• DocumentCode
    532365
  • Title

    An improved algorithm of FP - tree growth based on mapping

  • Author

    Zeng, Huanglin ; Wang, Bangrong

  • Author_Institution
    Sichuan Univ. of Sci. & Eng., Zigong, China
  • Volume
    4
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    The basic philosophy of mining relevance rule algorithm in knowledge discovery is introduced. After analysis on obvious shortcoming of frequent Pattern tree (FP-tree) algorithm in relevance rule mining, an improved algorithm of FP - tree growth is proposed to enhance the performance of mining relevance rules based on mapping construction of FP-tree. The effectiveness of the method proposed here is demonstrated by the experiment result of an illustration simulation.
  • Keywords
    data mining; tree data structures; FP tree growth; frequent pattern tree; illustration simulation; knowledge discovery; mapping construction; mining relevance rule algorithm; mining relevance rules; Data mining; Relevance rules; frequent Pattern tree; improved algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620419
  • Filename
    5620419