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
Link To Document