Integration of synthetic minority oversampling technique for imbalanced class
In the data mining, a class imbalance is a problematic issue to look for the solutions. It probably because machine learning is constructed by using algorithms with assuming the number of instances in each balanced class, so when using a class imbalance, it is possible that the prediction results ar...
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Main Authors: | , , |
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Format: | EJournal Article |
Published: |
Institute of Advanced Engineering and Science,
2019-01-01.
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Online Access: | Get fulltext |
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