Streaming Data Classification Based on Hierarchical Concept Drift and Online Ensemble
In order to improve the performance of online learning in the real-time distribution of streaming data, a streaming data classification algorithm based on hierarchical concept drift and online ensemble(SCHCDOE) is proposed in this paper. The concept drift index is calculated based on the newly arriv...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
IEEE
2023-01-01
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| Edice: | IEEE Access |
| Témata: | |
| On-line přístup: | https://ieeexplore.ieee.org/document/10295435/ |
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