• DocumentCode
    2369876
  • Title

    The model and application of mining the features of financial statement audit with multi-subjects

  • Author

    Zhang, Li ; Zhang, Jianping

  • Author_Institution
    Sch. of Inf. Manage., Beijing Inf. Sci. & Technol. Univ., Beijing, China
  • fYear
    2011
  • fDate
    25-27 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    When auditing the large enterprise groups with many accounting subjects, in order to find. the doubtful auditing points quickly in the mass electronic data, we designed and developed a accounting report procedure for single subject according to the logic of balance sheet with the parallel simulation; adopted the associative rules to mine the audit features of electronic data, and combined with the auditing experience to analyze the abnormal data, abstracting the features of fraud. Finally, took an example to test the effectiveness of the model. We quickly found the audit trails of many companies, which reduced the risk of incorrect acceptance caused by the delay of data acquisition.
  • Keywords
    auditing; data acquisition; abstracting; accounting; balance sheet; data acquisition; enterprise group; financial statement audit; fraud; mass electronic data; parallel simulation; Analytical models; Companies; Computational modeling; Data models; Itemsets; computer audit; data mining; parallel simulation; risk; the group reports;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management (ICSSSM), 2011 8th International Conference on
  • Conference_Location
    Tianjin
  • ISSN
    2161-1890
  • Print_ISBN
    978-1-61284-310-0
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2011.5959484
  • Filename
    5959484