Classification for large number of variables with two imbalanced groups
In the presence of group imbalance and large number of variables problems, traditional classification algorithms tend to be biased towards the majority group. Several approaches have been devoted to study such problems using linear and non-linear classification rules, but limited to group imbalance...
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Main Author: | Ahmad Hakiim, Jamaluddin |
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Format: | Thesis |
Language: | eng eng eng eng |
Published: |
2020
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Subjects: | |
Online Access: | https://etd.uum.edu.my/8600/1/DEPOSIT%20PERMISSION%20NOT%20ALLOW_s822665.pdf https://etd.uum.edu.my/8600/2/s822665_01.pdf https://etd.uum.edu.my/8600/3/s822665_02.pdf https://etd.uum.edu.my/8600/4/s822665_references.docx |
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