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

Amal Saadallah, Florian Priebe, Katharina Morik. A Drift-Based Dynamic Ensemble Members Selection Using Clustering for Time Series Forecasting. In Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I. Volume 11906 of Lecture Notes in Computer Science, pages 678-694, Springer, 2019. [doi]

Abstract

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