Viviana Molano, Carlos Cobos, Martha Mendoza, Enrique Herrera-Viedma, Milos Manic. Feature Selection Based on Sampling and C4.5 Algorithm to Improve the Quality of Text Classification Using Naïve Bayes. In Alexander F. Gelbukh, Félix Castro Espinoza, Sofía N. Galicia-Haro, editors, Human-Inspired Computing and Its Applications - 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, Tuxtla Gutiérrez, Mexico, November 16-22, 2014. Proceedings, Part I. Volume 8856 of Lecture Notes in Computer Science, pages 80-91, Springer, 2014. [doi]
Abstract is missing.