Improved Hybrid Bag-Boost Ensemble With K-Means-SMOTE–ENN Technique for Handling Noisy Class Imbalanced Data
Abstract A class imbalance problem plays a vital role while dealing with classes with rare number of instances. Noisy class imbalanced datasets create considerable effect on the machine learning classification of classes. Data resampling techniques commonly used for handling class imbalance problem...
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Published in | Computer journal Vol. 65; no. 1; pp. 124 - 138 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Oxford University Press
01.01.2022
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Subjects | |
Online Access | Get full text |
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