SOM-US: A Novel Under-Sampling Technique for Handling Class Imbalance Problem
A significant research challenge in data mining and machine learning is class imbalance classification since the majority of real-world datasets are imbalanced. When the dataset is highly unbalanced, the majority of available classification techniques frequently underperform on minority-class cases....
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| Format: | Article |
| Language: | English |
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Croatian Communications and Information Society (CCIS)
2024-03-01
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| Series: | Journal of Communications Software and Systems |
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| Online Access: | https://jcoms.fesb.unist.hr/10.24138/jcomss-2023-0133/ |