Citations refer to the original publication, not to a Scieee localized version.
Oña López, J. J. D., Oña López, R. D., Garrido Rodríguez, M. C., & Granada, U. D. (2017). Extraction of attribute importance from satisfaction surveys with data mining techniques: a comparison between neural networks and decision trees. Taylor & Francis. https://doi.org/10.1080/19427867.2015.1136917
Oña López, Juan José De, et al. Extraction of attribute importance from satisfaction surveys with data mining techniques: a comparison between neural networks and decision trees. Taylor & Francis, 2017. https://doi.org/10.1080/19427867.2015.1136917.
Oña López, Juan José De, Rocío de Oña López, María Concepción Garrido Rodríguez, and Universidad de Granada. Extraction of attribute importance from satisfaction surveys with data mining techniques: a comparison between neural networks and decision trees. Taylor & Francis, 2017. https://doi.org/10.1080/19427867.2015.1136917.
Oña López, J. J. D. et al. (2017) Extraction of attribute importance from satisfaction surveys with data mining techniques: a comparison between neural networks and decision trees. Taylor & Francis. Available at: https://doi.org/10.1080/19427867.2015.1136917.
J. J. D. Oña López, R. D. Oña López, M. C. Garrido Rodríguez, and U. D. Granada, “Extraction of attribute importance from satisfaction surveys with data mining techniques: a comparison between neural networks and decision trees,” Taylor & Francis, 2017, doi: 10.1080/19427867.2015.1136917.
@misc{onalopez2017extraction,
author = {Oña López, Juan José De and Oña López, Rocío de and Garrido Rodríguez, María Concepción and Granada, Universidad de},
title = {Extraction of attribute importance from satisfaction surveys with data mining techniques: a comparison between neural networks and decision trees},
year = {2017},
publisher = {Taylor \& Francis},
doi = {10.1080/19427867.2015.1136917},
url = {https://doi.org/10.1080/19427867.2015.1136917}
}
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