• DocumentCode
    3264747
  • Title

    Incremental mining of Web sequential patterns using PLWAP tree on tolerance MinSupport

  • Author

    Ezeife, C.I. ; Chen, Min

  • Author_Institution
    Sch. of Comput. Sci., Windsor Univ., Ont., Canada
  • fYear
    2004
  • fDate
    7-9 July 2004
  • Firstpage
    465
  • Lastpage
    469
  • Abstract
    This work proposes an algorithm, PL4UP, which uses the PLWAP tree structure to incrementally update Web sequential patterns. PL4UP initially builds a bigger PLWAP tree that includes all sequences in the database with a tolerance support, t, that is a fraction of the database minimum support, s. The position code features of the PLWAP tree are used to efficiently mine this tree to extract both current frequent and nonfrequent sequences, which are likely to become frequent when the database is updated. This approach more quickly updates old frequent patterns without the need to rescan the entire updated database.
  • Keywords
    Internet; data mining; tree data structures; PL4UP algorithm; PLWAP tree structure; Web sequential patterns; a priori-like algorithms; incremental mining; sequential pattern mining; tolerance MinSupport; Association rules; Computer science; Councils; Data engineering; Data mining; Itemsets; Iterative algorithms; Scalability; Spatial databases; Tree data structures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database Engineering and Applications Symposium, 2004. IDEAS '04. Proceedings. International
  • ISSN
    1098-8068
  • Print_ISBN
    0-7695-2168-1
  • Type

    conf

  • DOI
    10.1109/IDEAS.2004.1319823
  • Filename
    1319823