Hybrid Feature Selection Method Based on a Naïve Bayes Algorithm that Enhances the Learning Speed while Maintaining a Similar Error Rate in Cyber ISR
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Cite this article
[IEEE Style]
G. Shin, H. Yooun, D. Shin and D. Shin, "Hybrid Feature Selection Method Based on a Naïve Bayes Algorithm that Enhances the Learning Speed while Maintaining a Similar Error Rate in Cyber ISR," KSII Transactions on Internet and Information Systems, vol. 12, no. 12, pp. 5685-5700, 2018. DOI: 10.3837/tiis.2018.12.005.
[ACM Style]
GyeongIl Shin, Hosang Yooun, DongIl Shin, and DongKyoo Shin. 2018. Hybrid Feature Selection Method Based on a Naïve Bayes Algorithm that Enhances the Learning Speed while Maintaining a Similar Error Rate in Cyber ISR. KSII Transactions on Internet and Information Systems, 12, 12, (2018), 5685-5700. DOI: 10.3837/tiis.2018.12.005.
[BibTeX Style]
@article{tiis:21940, title="Hybrid Feature Selection Method Based on a Naïve Bayes Algorithm that Enhances the Learning Speed while Maintaining a Similar Error Rate in Cyber ISR", author="GyeongIl Shin and Hosang Yooun and DongIl Shin and DongKyoo Shin and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2018.12.005}, volume={12}, number={12}, year="2018", month={December}, pages={5685-5700}}