Evolutionary undersampling for extremely imbalanced big data classification under apache spark
The classification of datasets with a skewed class distribution is an important problem in data mining. Evolutionary undersampling of the majority class has proved to be a successful approach to tackle this issue. Such a challenging task may become even more difficult when the number of the majority...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/38876/ |