A Drift-Based Dynamic Ensemble Members Selection Using Clustering for Time Series Forecasting

Cite

Text

Saadallah et al. "A Drift-Based Dynamic Ensemble Members Selection Using Clustering for Time Series Forecasting." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019. doi:10.1007/978-3-030-46150-8_40

Markdown

[Saadallah et al. "A Drift-Based Dynamic Ensemble Members Selection Using Clustering for Time Series Forecasting." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019.](https://mlanthology.org/ecmlpkdd/2019/saadallah2019ecmlpkdd-driftbased/) doi:10.1007/978-3-030-46150-8_40

BibTeX

@inproceedings{saadallah2019ecmlpkdd-driftbased,
  title     = {{A Drift-Based Dynamic Ensemble Members Selection Using Clustering for Time Series Forecasting}},
  author    = {Saadallah, Amal and Priebe, Florian and Morik, Katharina},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2019},
  pages     = {678-694},
  doi       = {10.1007/978-3-030-46150-8_40},
  url       = {https://mlanthology.org/ecmlpkdd/2019/saadallah2019ecmlpkdd-driftbased/}
}