• DocumentCode
    2725250
  • Title

    Using the Pre-FUFP Algorithm for Handling New Transactions in Incremental Mining

  • Author

    Lin, Chun-Wei ; Hong, Tzung-Pei ; Lu, Wen-Hsiang

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan
  • fYear
    2007
  • fDate
    March 1 2007-April 5 2007
  • Firstpage
    598
  • Lastpage
    603
  • Abstract
    In the past, we proposed a Fast Updated FP-tree (FUFP-tree) structure to efficiently handle new transactions and to make the tree update process become easier. In this paper, we attempt to modify the FUFP-tree construction based on the concept of pre-large itemsets. Pre-large itemsets are defined by a lower support threshold and an upper support threshold. The proposed approach can achieve a good execution time for tree construction especially when each time a small number of transactions are inserted. Experimental results also show that the proposed Pre-FUFP maintenance algorithm has a good performance for incrementally handling new transactions.
  • Keywords
    data mining; tree data structures; FUFP-tree construction; Fast Updated FP-tree structure; incremental mining; pre-FUFP algorithm; transactions handling; Association rules; Bidirectional control; Computational intelligence; Computer science; Data mining; Itemsets; Iterative algorithms; Partitioning algorithms; Testing; Transaction databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Data Mining, 2007. CIDM 2007. IEEE Symposium on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-0705-2
  • Type

    conf

  • DOI
    10.1109/CIDM.2007.368930
  • Filename
    4221354