DocumentCode
518110
Title
Notice of Retraction
Research of Continuous Auditing Immune Model based on Object-Oriented Rule Base
Author
Huanzhuo Ye ; Ye Li
Author_Institution
Dept. of Inf., Zhongnan Univ. of Econ. & Law, Wuhan, China
Volume
4
fYear
2010
fDate
16-18 April 2010
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In Continuous Auditing, the data which are extracted from audited-entity need to be contrasted and analyzed by various information technologies, in order to query out the abnormal behaviors, estimate its authenticity, validity and integrity, and forecast the trend of data development. Therefore, the establishment of a normal auditing rule base with which to instruct and standard the data analysis and selection process becomes a quite valuable and significance subject. In order to fill up the vacancy of this filed, Continuous Auditing Immune Model based on Object-Oriented Rule Base (CAIMOR) makes a research of business data rule base on the basis of Object-Oriented Knowledge Representation, and then applies it into a Artificial Immune model. To some degree, CAIMOR can meet the requirements of real-time, self-study and self-adaption in Continuous Auditing.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In Continuous Auditing, the data which are extracted from audited-entity need to be contrasted and analyzed by various information technologies, in order to query out the abnormal behaviors, estimate its authenticity, validity and integrity, and forecast the trend of data development. Therefore, the establishment of a normal auditing rule base with which to instruct and standard the data analysis and selection process becomes a quite valuable and significance subject. In order to fill up the vacancy of this filed, Continuous Auditing Immune Model based on Object-Oriented Rule Base (CAIMOR) makes a research of business data rule base on the basis of Object-Oriented Knowledge Representation, and then applies it into a Artificial Immune model. To some degree, CAIMOR can meet the requirements of real-time, self-study and self-adaption in Continuous Auditing.
Keywords
artificial immune systems; auditing; business data processing; corporate modelling; data analysis; knowledge based systems; knowledge representation; object-oriented methods; CAIMOR; business data rule base; continuous auditing immune model; data analysis; data development; data extraction; information technology; object-oriented knowledge representation; object-oriented rule base; query; selection process; Data analysis; Data mining; Data processing; Economic forecasting; Information analysis; Information security; Knowledge representation; Logic; Object oriented modeling; Predictive models; Artificial Immune; Audit Rule Base; Continuous Auditing; Object-Oriented Knowledge Representation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5485672
Filename
5485672
Link To Document