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
Link To Document