# things to do

## methods to cover

* drift detection
  * maybe some more
* 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
* non stationary data
* more statistical methods


https://netlibrary.aau.at/obvuklhs/content/titleinfo/5395523/full.pdf
## proposed structure

* introduction
* definitions
* problem overview
* drift
  * blind
  * non-blind
* model based
  * statistical
  * density based
  * ...
* machine learning
  * SVM
  * PCA
  * GHA
  * extreme learning
  * ...
* further reading
  * non stationary data
  * 
* Conclusion