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]
@inproceedings{MolanoCMHM14,
title = {Feature Selection Based on Sampling and C4.5 Algorithm to Improve the Quality of Text Classification Using Naïve Bayes},
author = {Viviana Molano and Carlos Cobos and Martha Mendoza and Enrique Herrera-Viedma and Milos Manic},
year = {2014},
doi = {10.1007/978-3-319-13647-9_9},
url = {http://dx.doi.org/10.1007/978-3-319-13647-9_9},
researchr = {https://researchr.org/publication/MolanoCMHM14},
cites = {0},
citedby = {0},
pages = {80-91},
booktitle = {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},
editor = {Alexander F. Gelbukh and Félix Castro Espinoza and Sofía N. Galicia-Haro},
volume = {8856},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-13646-2},
}