• DocumentCode
    2734510
  • Title

    The Domain Knowledge Driven Intelligent Data Auditing Model

  • Author

    Yu, Jing ; Xu, Bin ; Shi, Yong

  • Author_Institution
    Res. Center on Fictitious Econ. & Data Sci., CAS, Beijing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 3 2010
  • Firstpage
    199
  • Lastpage
    202
  • Abstract
    With the fast development of information technology, both traditional audit theory and practice encounter the unprecedented challenge, hereafter the data audit conception emerges with respondence to these changes. Unfortunately the data audit model and its corresponding implementation route are scarcely studied. By integrating data mining technology with audit domain knowledge, this paper will proposed a kind of new domain knowledge driven intelligent data auditing model which taking advantages of data warehouse, data mining and intelligent knowledge management with application of audit domain, and the paper demonstrates how to apply some normal data mining technologies in audit data mining, which is benefit to further study to reduce audit risk and assure the audit quantity.
  • Keywords
    auditing; data mining; data warehouses; knowledge management; audit domain; audit risk reduction; audit theory; data mining technology; data warehouse; domain knowledge; information technology development; intelligent data auditing model; intelligent knowledge management; Analytical models; Biological system modeling; Cognition; Data mining; Data models; Data warehouses; Feature extraction; data auditing model; data mining; domain knowledge driven; intelligent knowledge;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-8482-9
  • Electronic_ISBN
    978-0-7695-4191-4
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2010.249
  • Filename
    5614201