Abstract
In the paper, information table for network traffic data is discretized by supervised learning using WEKA and from this discretized data, three different algorithms for calculation of rules are applied, genetic algorithm, covering algorithm and LEM2 algorithm. Rough set classification through three different table rule set are done and accuracies are observed. It has been concluded that out of these three methods of rule calculation, classification through table rule set using covering algorithm yields best accuracy. In fourth table of classification, rules have been calculated through reduct generation but in that case, rough set classification produces same total accuracy of classification through covering algorithm. RSES software is used for rule set calculation, reduct generation and rough set classification.
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: International Journal of Information and Electronics 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.
