• DocumentCode
    2924209
  • Title

    Incremental mining frequent itemsets based on the trie structure and the pre-large itemsets

  • Author

    Le, Thien-Phuong ; Hong, Tzung-Pei ; Vo, Bay ; Le, Bac

  • Author_Institution
    Fac. of Technol., Pacific Ocean Univ., Nha Trang, Vietnam
  • fYear
    2011
  • fDate
    8-10 Nov. 2011
  • Firstpage
    369
  • Lastpage
    373
  • Abstract
    Incremental data mining has been discussed widely in recent years since it has many real applications. In this paper, we propose a Pre-FUT algorithm (Fast-Update algorithm using Trie data structure and the concept of pre-large itemsets), which does not only build and update the trie structure when new transactions are inserted, but also mine all frequent itemsets easily from the tree. Experimental results show the good performance of the proposed algorithm.
  • Keywords
    data mining; tree data structures; trees (mathematics); Pre-FUT algorithm; fast-update algorithm; incremental data mining; incremental frequent itemset mining; prelarge itemset; trie data structure; Algorithm design and analysis; Association rules; Data structures; Itemsets; Maintenance engineering; data mining; incremental mining; pre-large itemset; trie structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2011 IEEE International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-4577-0372-0
  • Type

    conf

  • DOI
    10.1109/GRC.2011.6122624
  • Filename
    6122624