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# things to do
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## methods to cover
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* drift detection
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* maybe some more
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* extreme learning https://www.researchgate.net/profile/Giovanni-Iacca/publication/262274757_Online_Extreme_Learning_on_Fixed-Point_Sensor_Networks/links/53df8fbb0cf2aede4b490cb3/Online-Extreme-Learning-on-Fixed-Point-Sensor-Networks.pdf
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* non stationary data
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* more statistical methods
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https://netlibrary.aau.at/obvuklhs/content/titleinfo/5395523/full.pdf
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## proposed structure
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* introduction
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* definitions
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* problem overview
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* drift
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* blind
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* non-blind
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* model based
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* statistical
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* density based
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* ...
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* machine learning
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* SVM
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* PCA
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* GHA
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* extreme learning
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* ...
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* further reading
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* non stationary data
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*
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* Conclusion
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