Abstract
Expert system technology becomes more and more important for next generation computer systems. A rule base is a widely used approach to construct an expert system, where knowledge and expertise are represented as production rules. However, due to the growth of rule base usage, the scale of rule base is increasing and hence many management related issues arise. By considering not only the structural relatedness between rules but also the semantic relatedness of rules, RP-MES is proposed combining both rule base partitioning mechanism and meta-rule construction mechanism to solve these issues in this paper. An Intrusion Detection prototype System is also designed and implemented based on RP-MES, and some experiments have been done to evaluate the system performance. The experimental results show that RP-MES can improve the accuracy of the inference results, and that the performance of RP-MES is better than that of original rule base without partitioning.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
