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Pruning of Rules in Expert Systems to Increase Performance
Expert systems are recognized as useful tools for many applications, but a method of accurately pruning unused rules may increase the efficiency of expert systems. The student will evaluate one or more common expert system-based intrusion detection systems (Snort, Bro, etc.) and evaluate the accuracy and performance of the systems when the unused rules are eliminated from the application. The student will create a 5-10 page paper describing their findings.
Expert systems are recognized as useful tools for many applications, but a method of accurately pruning unused rules may increase the efficiency of expert systems. The student will evaluate one or more common expert system-based intrusion detection systems (Snort, Bro, etc.) and evaluate the accuracy and performance of the systems when the unused rules are eliminated from the application. The student will create a 5-10 page paper describing their findings.
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