• DocumentCode
    2103330
  • Title

    The Logic Properties of Association Rules and its Application

  • Author

    Liu, Bo

  • Author_Institution
    Sch. of Educ. Inf. & Technol., South China Normal Univ., Guangzhou
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    112
  • Lastpage
    116
  • Abstract
    In this paper it firstly attends to the theoretical foundations of data mining technologies, especially the association rules discovering. Several classes of association rules are defined such as transitive quantifiers, double transitive quantifiers and founded-equivalent transitive quantifiers, e.t. and discussed these properties of some 4ft quantifiers. Then based on the procedure 4ft-Miner some experiments was turn out and the flexible result was excellent. In the later give their relationship among them and the future works about this problem.
  • Keywords
    Boolean functions; data mining; set theory; Boolean attribute; association rule mining; data mining technology; item set; logic property; Association rules; Data analysis; Data mining; Educational technology; Electronic mail; Information technology; Logic; association rules; data mining; transitive quantifier;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3505-0
  • Type

    conf

  • DOI
    10.1109/IITA.Workshops.2008.31
  • Filename
    4731893