JALAL, Nasir, MEHMOOD, Arif, CHOI, Gyu Sang und ASHRAF, Imran, 2022. A novel improved random forest for text classification using feature ranking and optimal number of trees. Journal of King Saud University - Computer & Information Sciences. 1 Juni 2022. Vol. 34, no. 6, p. 2733-2742. DOI 10.1016/j.jksuci.2022.03.012.
Elsevier - Harvard (with titles)Jalal, N., Mehmood, A., Choi, G.S., Ashraf, I., 2022. A novel improved random forest for text classification using feature ranking and optimal number of trees. Journal of King Saud University - Computer & Information Sciences 34, 2733-2742. https://doi.org/10.1016/j.jksuci.2022.03.012
American Psychological Association 7th editionJalal, N., Mehmood, A., Choi, G. S., & Ashraf, I. (2022). A novel improved random forest for text classification using feature ranking and optimal number of trees. Journal of King Saud University - Computer & Information Sciences, 34(6), 2733-2742. https://doi.org/10.1016/j.jksuci.2022.03.012
Springer - Basic (author-date)Jalal N, Mehmood A, Choi GS, Ashraf I (2022) A novel improved random forest for text classification using feature ranking and optimal number of trees.. Journal of King Saud University - Computer & Information Sciences 34:2733-2742. https://doi.org/10.1016/j.jksuci.2022.03.012
Juristische Zitierweise (Stüber) (Deutsch)Jalal, Nasir/ Mehmood, Arif/ Choi, Gyu Sang/ Ashraf, Imran, A novel improved random forest for text classification using feature ranking and optimal number of trees., Journal of King Saud University - Computer & Information Sciences 2022, 2733-2742.