• DocumentCode
    1929348
  • Title

    Data Classification Based on the Class-Rooted FP-Tree Approach

  • Author

    Chang, Ye-In ; Wu, Chen-Chang ; Shen, Jun-Hong ; Chen, Chien-Hung

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Nat. Sun Yat-Sen Univ., Kaohsiung
  • fYear
    2009
  • fDate
    16-19 March 2009
  • Firstpage
    506
  • Lastpage
    511
  • Abstract
    In this paper, we present an efficient and accurate decision tree building method which resolves some problems and reduces the overhead of database scanning in the CAM method. We also build a structure named class-rooted FP-tree. From our simulation, we show that the performance of the proposed class-rooted FP-tree mining method is better than the CAM methods in terms of storage usage, the times of database scanning and classification accuracy.
  • Keywords
    data mining; decision trees; CAM methods; class-rooted FP-tree approach; data classification; data-mining; database scanning; Association rules; Buildings; CADCAM; Classification tree analysis; Computer aided manufacturing; Data mining; Decision trees; Deductive databases; Intelligent structures; Itemsets; association rules; classification; correlated attributes; data mining; decision trees;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent and Software Intensive Systems, 2009. CISIS '09. International Conference on
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-1-4244-3569-2
  • Electronic_ISBN
    978-0-7695-3575-3
  • Type

    conf

  • DOI
    10.1109/CISIS.2009.160
  • Filename
    5066832
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1929348