Feature Selection Based on Sampling and C4.5 Algorithm to Improve the Quality of Text Classification Using Naïve Bayes - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

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]

This author has not been identified. Look up 'Viviana Molano' in GoogleThis author has not been identified. Look up 'Carlos Cobos' in GoogleThis author has not been identified. Look up 'Martha Mendoza' in GoogleThis author has not been identified. Look up 'Enrique Herrera-Viedma' in GoogleThis author has not been identified. Look up 'Milos Manic' in Google

runs on WebDSL