Recurrent Adaptive Classifier Ensemble for Handling Recurring Concept Drifts
For most real-world data streams, the concept about which data is obtained may shift from time to time, a phenomenon known as concept drift. For most real-world applications such as nonstationary time-series data, concept drift often occurs in a cyclic fashion, and previously seen concepts will reap...
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| Main Authors: | Tinofirei Museba, Fulufhelo Nelwamondo, Khmaies Ouahada, Ayokunle Akinola |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2021/5533777 |
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