• DocumentCode
    681299
  • Title

    Association rules mining algorithm based on interest measure and its application in medical audit

  • Author

    Junli Chen ; Kai Liu ; Haishan Han ; Shasha Xing

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
  • fYear
    2013
  • fDate
    19-20 Aug. 2013
  • Firstpage
    278
  • Lastpage
    281
  • Abstract
    How to use the data mining technology, to discover the potential mass audit data in doubt is the hot spot of audit technology research. This paper proposes a new association rules mining algorithm based on interest measure, to set up a new interest model, to improve the accuracy of the strong association rules, and apply it to the audit of the business data of medical fees, to realize the application of data mining technology in the medical audit.
  • Keywords
    auditing; data mining; medical administrative data processing; association rules mining algorithm; audit technology research; business data; data mining technology; interest measure; medical audit; medical fees; potential mass audit data discovery; Association Rules Mining; Interest; Medical Audit;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Smart and Sustainable City 2013 (ICSSC 2013), IET International Conference on
  • Conference_Location
    Shanghai
  • Electronic_ISBN
    978-1-84919-707-6
  • Type

    conf

  • DOI
    10.1049/cp.2013.1958
  • Filename
    6737820