Cite
Random resampling algorithms for addressing the imbalanced dataset classes in insider threat detection.
MLA
Al-Shehari, Taher, and Rakan A. Alsowail. “Random Resampling Algorithms for Addressing the Imbalanced Dataset Classes in Insider Threat Detection.” International Journal of Information Security, vol. 22, no. 3, June 2023, pp. 611–29. EBSCOhost, https://doi.org/10.1007/s10207-022-00651-1.
APA
Al-Shehari, T., & Alsowail, R. A. (2023). Random resampling algorithms for addressing the imbalanced dataset classes in insider threat detection. International Journal of Information Security, 22(3), 611–629. https://doi.org/10.1007/s10207-022-00651-1
Chicago
Al-Shehari, Taher, and Rakan A. Alsowail. 2023. “Random Resampling Algorithms for Addressing the Imbalanced Dataset Classes in Insider Threat Detection.” International Journal of Information Security 22 (3): 611–29. doi:10.1007/s10207-022-00651-1.