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

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

Open Access
|Feb 2025

Authors

Piotr Porwik

piotr.porwik@us.edu.pl

Institute of Computer Science, Faculty of Science and Technology, University of Silesia, Sosnowiec, Poland

Tomasz Orczyk

Institute of Computer Science, Faculty of Science and Technology, University of Silesia, Sosnowiec, Poland

Krzysztof Wrobel

Institute of Computer Science, Faculty of Science and Technology, University of Silesia, Sosnowiec, Poland

Benjamin Mensah Dadzie

Institute of Computer Science, Faculty of Science and Technology, University of Silesia, Sosnowiec, Poland
Language: English
Page range: 147 - 166
Submitted on: Oct 2, 2024
|
Accepted on: Dec 1, 2024
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Published on: Feb 5, 2025
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Piotr Porwik, Tomasz Orczyk, Krzysztof Wrobel, Benjamin Mensah Dadzie, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.