A Novel Method for Drift Detection in Streaming Data Based on Measurement of Changes in Feature Ranks
Piotr Porwik
Institute of Computer Science, Faculty of Science and Technology, University of SilesiaSosnowiec, Poland
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, Tomasz Orczyk
Institute of Computer Science, Faculty of Science and Technology, University of SilesiaSosnowiec, Poland
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, Krzysztof Wrobel
Institute of Computer Science, Faculty of Science and Technology, University of SilesiaSosnowiec, Poland
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and Benjamin Mensah Dadzie
Institute of Computer Science, Faculty of Science and Technology, University of SilesiaSosnowiec, Poland
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Feb 05, 2025
About this article
Published Online: Feb 05, 2025
Page range: 147 - 166
Received: Oct 02, 2024
Accepted: Dec 01, 2024
DOI: https://doi.org/10.2478/jaiscr-2025-0008
Keywords
© 2025 Piotr Porwik et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Porwik, Piotr
Institute of Computer Science, Faculty of Science and Technology, University of SilesiaSosnowiec, Poland
Orczyk, Tomasz
Institute of Computer Science, Faculty of Science and Technology, University of SilesiaSosnowiec, Poland
Wrobel, Krzysztof
Institute of Computer Science, Faculty of Science and Technology, University of SilesiaSosnowiec, Poland
Dadzie, Benjamin Mensah
Institute of Computer Science, Faculty of Science and Technology, University of SilesiaSosnowiec, Poland