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A Novel Method for Drift Detection in Streaming Data Based on Measurement of Changes in Feature Ranks

Piotr Porwik

Piotr Porwik

Institute of Computer Science, Faculty of Science and Technology, University of SilesiaSosnowiec, Poland
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Porwik, Piotr
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Tomasz Orczyk

Tomasz Orczyk

Institute of Computer Science, Faculty of Science and Technology, University of SilesiaSosnowiec, Poland
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Orczyk, Tomasz
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Krzysztof Wrobel

Krzysztof Wrobel

Institute of Computer Science, Faculty of Science and Technology, University of SilesiaSosnowiec, Poland
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Wrobel, Krzysztof
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Benjamin Mensah Dadzie

Benjamin Mensah Dadzie

Institute of Computer Science, Faculty of Science and Technology, University of SilesiaSosnowiec, Poland
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Dadzie, Benjamin Mensah
  
Feb 05, 2025
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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.
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Artificial Intelligence, Databases and Data Mining
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