Abstract
Recently, several approaches have been proposed to deal with the concept drift detection. In this paper we propose the new concept drift detection algorithm based on the decision templates. The decision templates are obtained from the outputs of the base classifier that form an ensemble of classifiers. Experiments on several publicly available data sets verify the effectiveness of the proposed algorithm.
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Acknowledgments
This work was supported in part by the Polish National Science Center under the grant no. DEC-2013/09/B/ST6/02264.
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Burduk, R. (2018). Drift Detection Algorithm Using the Discriminant Function of the Base Classifiers. In: Kurzynski, M., Wozniak, M., Burduk, R. (eds) Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017. CORES 2017. Advances in Intelligent Systems and Computing, vol 578. Springer, Cham. https://doi.org/10.1007/978-3-319-59162-9_51
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DOI: https://doi.org/10.1007/978-3-319-59162-9_51
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