Abstract
The authors evaluate research and development in the design of expert systems for the audit domain, providing an overview of the domain of expert judgment involved in the audit process. A framework used to present and analyze work to date and to guide future efforts is constructed. Methods of knowledge acquisition being used to develop audit applications are examined. The authors address knowledge representation for the audit domain. Most systems developed for auditing are rule-based systems. Currently, however, other representational forms are being tested that may be more appropriate for dealing with audit complexity. Progress being made in expert system validation is considered, and the current state of development and directions for future efforts are briefly discussed. >
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IEEE Transactions on Knowledge and Data Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
