• DocumentCode
    2989078
  • Title

    Data Mining Technique in the Internal Auditing of Enterprise Groups

  • Author

    Yang, Aijun ; Song, Ping

  • Author_Institution
    Bus. Sch., Shandong Jianzhu Univ., Jinan, China
  • fYear
    2011
  • fDate
    3-4 Dec. 2011
  • Firstpage
    1308
  • Lastpage
    1311
  • Abstract
    Data mining is a new type of information processing technique. The use of data mining technique will improve the efficiency of the enterprise group´s internal auditing and auditing quality, and reduce the audit risk. We reconstruct enterprise group internal audit model based on data mining and other techniques, and show the data mining process in the internal auditing of enterprise groups. The basic applications of data mining technique in the internal auditing of business groups include statistical analysis, correlation analysis, and cluster analysis, etc.
  • Keywords
    auditing; business data processing; correlation methods; data mining; risk analysis; statistical analysis; audit risk reduction; auditing quality; business groups; cluster analysis; correlation analysis; data mining technique; enterprise group internal audit model; information processing; statistical analysis; Data mining; Data models; Data warehouses; Delta modulation; Personnel; Statistical analysis; cluster analysis; correlation analysis; data mining; data mining process; enterprise groups; internal auditing; statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
  • Conference_Location
    Hainan
  • Print_ISBN
    978-1-4577-2008-6
  • Type

    conf

  • DOI
    10.1109/CIS.2011.290
  • Filename
    6128245