APA (7th ed.) Citation

Li, K., Li, J., Liu, S., Li, Z., Bo, J., & Liu, B. (2019). GA-iForest: An Efficient Isolated Forest Framework Based on Genetic Algorithm for Numerical Data Outlier Detection. Transactions of Nanjing University of Aeronautics & Astronautics, 36(6), 1026-1038. https://doi.org/10.16356/j.1005-1120.2019.06.015

Chicago Style (17th ed.) Citation

Li, Kexin, Jing Li, Shuji Liu, Zhao Li, Jue Bo, and Biqi Liu. "GA-iForest: An Efficient Isolated Forest Framework Based on Genetic Algorithm for Numerical Data Outlier Detection." Transactions of Nanjing University of Aeronautics & Astronautics 36, no. 6 (2019): 1026-1038. https://doi.org/10.16356/j.1005-1120.2019.06.015.

MLA (9th ed.) Citation

Li, Kexin, et al. "GA-iForest: An Efficient Isolated Forest Framework Based on Genetic Algorithm for Numerical Data Outlier Detection." Transactions of Nanjing University of Aeronautics & Astronautics, vol. 36, no. 6, 2019, pp. 1026-1038, https://doi.org/10.16356/j.1005-1120.2019.06.015.