• DocumentCode
    2922578
  • Title

    Variables Interaction for Mining Negative and Positive Quantitative Association Rules

  • Author

    Alachaher, Leila Nemmiche ; Guillaume, Sylvie

  • Author_Institution
    LIMOS, UBP UMR 6158 CNRS, Aubiere
  • fYear
    2006
  • fDate
    Nov. 2006
  • Firstpage
    82
  • Lastpage
    85
  • Abstract
    This paper introduces an efficient method for mining both positive and negative quantitative association rules using a tabular pruning and regrouping strategy coordinated with an interestingness measure. This measure evaluates the impact of a new variable on the concerned association
  • Keywords
    data mining; data mining; negative quantitative association rule; positive quantitative association rule; regrouping strategy; tabular pruning; Artificial intelligence; Association rules; Coordinate measuring machines; Data mining; Itemsets; Transaction databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2006. ICTAI '06. 18th IEEE International Conference on
  • Conference_Location
    Arlington, VA
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-2728-0
  • Type

    conf

  • DOI
    10.1109/ICTAI.2006.119
  • Filename
    4031883
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2922578