Unsupervised Concept Drift Detection Based on Stacked Autoencoder and Page-Hinckley Test

Author:

Zhan Shu,Li Yang,Liu Chunyan,Zhao Yunlong

Publisher

Springer Nature Singapore

Reference32 articles.

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4. Bifet, A., Gavalda, R.: Learning from time-changing data with adaptive windowing. In: Proceedings of the 2007 SIAM International Conference on Data Mining, pp. 443–448. SIAM (2007)

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1. A novel framework for concept drift detection using autoencoders for classification problems in data streams;International Journal of Machine Learning and Cybernetics;2024-06-03

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