• DocumentCode
    2192840
  • Title

    Interaction as an Interestingness Measure

  • Author

    McGrane, Martin ; Poon, Simon K.

  • Author_Institution
    Sch. of Inf. Technol., Univ. of Sydney, Sydney, NSW, Australia
  • fYear
    2010
  • fDate
    13-13 Dec. 2010
  • Firstpage
    726
  • Lastpage
    731
  • Abstract
    Detecting interesting patterns in data has been a focus of recent work in knowledge discovery. Understanding the patterns of interaction between attributes is relevant to many fields. Existing measures of interestingness do not adequately detect these interaction patterns. Here we present a new measure that explores the interactions to be found in data. We combine this interestingness measure with statistical validation to find reliable and interesting interactions.
  • Keywords
    data mining; statistical analysis; interaction rules; interesting pattern detection; knowledge discovery; statistical validation; interactions; interestingness; patterns;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops (ICDMW), 2010 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4244-9244-2
  • Electronic_ISBN
    978-0-7695-4257-7
  • Type

    conf

  • DOI
    10.1109/ICDMW.2010.126
  • Filename
    5693368
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2192840