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The Entropy-Based Time Domain Feature Extraction for Online Concept Drift Detection
Most of time series deriving from complex systems in real life is non-stationary, where the data distribution would be influenced by various internal/external factors such that the contexts are persistently changing. Therefore, the concept drift detection of time series has practical significance. I...
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| Udgivet i: | Entropy (Basel) |
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| Main Authors: | , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI
2019
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7514531/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21121187 |
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