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
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;
Conference_Titel :
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location :
Hainan
Print_ISBN :
978-1-4577-2008-6
DOI :
10.1109/CIS.2011.290