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
Link To Document