Accurate detecting concept drift in evolving data streams
Predictive models operating on the evolving data streams are dynamic. The performance of a model will deteriorate eventually when it suffers the effect of concept drift. The learning algorithms require the proper adaptive strategies to cope with the concept drifting data streams. In this paper, we p...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-12-01
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| Series: | ICT Express |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959520300655 |