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: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
King Saud bin Abdulaziz University
2021
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| Subjects: | |
| Online Access: | 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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