Open Access
Issue
E3S Web of Conf.
Volume 465, 2023
8th International Conference on Industrial, Mechanical, Electrical and Chemical Engineering (ICIMECE 2023)
Article Number 02048
Number of page(s) 5
Section Symposium on Electrical, Information Technology, and Industrial Engineering
DOI https://doi.org/10.1051/e3sconf/202346502048
Published online 18 December 2023
  1. J. F. E. IV, D. Michie, D. J. Spiegelhalter, and C. C. Taylor, Machine Learning, Neural, and Statistical Classification., vol. 91, no. 433. 1996. doi: 10.2307/2291432. [Google Scholar]
  2. S. Qaiser and R. Ali, “Text Mining: Use of TF-IDF to Examine the Relevance of Words to Documents,” Int. J. Comput. Appl., vol. 181, no. 1, pp. 25–29, Jul. 2018, doi:10.5120/ijca2018917395. [Google Scholar]
  3. A. Jamain and D. J. Hand, “The Naive Bayes Mystery: A classification detective story,” Pattern Recognit. Lett., vol. 26, no. 11, pp. 1752–1760, Aug. 2005, doi: 10.1016/j.patrec.2005.02.001. [CrossRef] [Google Scholar]
  4. A. P. Wibawa et al., “Naïve Bayes Classifier for Journal Quartile Classification,” Int. J. Recent Contrib. from Eng. Sci. IT, vol. 7, no. 2, p. 91, Jun. 2019, doi: 10.3991/ijes.v7i2.10659. [CrossRef] [Google Scholar]
  5. S. Visa, B. Ramsay, A. Ralescu, and E. Van Der Knaap, “Confusion matrix-based feature selection,” in CEUR Workshop Proceedings, 2011, pp. 120–127. [Google Scholar]
  6. B. S. Sarath Pokuri, S. Ghosal, A. Kokate, B. Ganapathysubramanian, and S. Sarkar, “Interpretable deep learning for guided structure property explorations in photovoltaics,” arXiv, 2018, doi: arXiv:1811.06067v2. [Google Scholar]

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