• DocumentCode
    2089056
  • Title

    SCOPE: An Efficient One Pass Approach to Find Strongly Correlated Item Pairs

  • Author

    Roy, S. ; Bhattacharyya, D.K.

  • Author_Institution
    Dept of Inf. Technol., North Eastern Hill Univ., India
  • fYear
    2008
  • fDate
    17-20 Dec. 2008
  • Firstpage
    123
  • Lastpage
    126
  • Abstract
    This paper presents an efficient one pass technique, SCOPE (strongly correlated item pairs extraction), which finds all the strongly correlated item pairs from transaction database, without generating any candidate sets. We experimented with real and synthetic datasets and compared the performance of SCOPE with its other counterparts i.e. TAPER and TCP and found satisfactory.
  • Keywords
    data mining; SCOPE; TAPER; TCP; efficient one pass approach; strongly correlated item pairs extraction; transaction database; Association rules; Data mining; Data structures; Filtering; Frequency; Information technology; Performance analysis; Statistical analysis; Transaction databases; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, 2008. ICIT '08. International Conference on
  • Conference_Location
    Bhubaneswar
  • Print_ISBN
    978-1-4244-3745-0
  • Type

    conf

  • DOI
    10.1109/ICIT.2008.10
  • Filename
    4731311
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2089056