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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Bibliographic Details
Main Author: Ahmad Hakiim, Jamaluddin
Format: Thesis
Language:eng
eng
eng
eng
Published: 2020
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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