Adaptive Data Structure Based Oversampling Algorithm for Ordinal Classification
The main objective of this research is to improve the predictive accuracy of classification in ordinal multiclass imbalanced scenario. The methodology attempts to uplift the classifier performance through synthesizing sophisticated objects of immature classes. A novel Adaptive Data Structure based...
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| Main Authors: | , |
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| Format: | EJournal Article |
| Published: |
Institute of Advanced Engineering and Science,
2018-12-01.
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| Subjects: | |
| Online Access: | Get fulltext |
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |