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Improving the classification performance on imbalanced data sets via new hybrid parameterisation model

The aim of this work is to analyse the performance of the new proposed hybrid parameterisation model in handling problematic data. Three types of problematic data will be highlighted in this paper: i) big data set, ii) uncertain and inconsistent data set and iii) imbalanced data set. The proposed hy...

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Main Authors:	Mohamad, M., Selamat, A., Subroto, I. M., Krejcar, O.
格式:	Article
語言:	English
出版:	King Saud bin Abdulaziz University 2021
主題:	QA75 Electronic computers. Computer science
在線閱讀:	http://eprints.utm.my/id/eprint/95554/1/AliSelamat2021_ImprovingtheClassificationPerformance.pdf http://eprints.utm.my/id/eprint/95554/ http://dx.doi.org/10.1016/j.jksuci.2019.04.009
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