One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift

Hinder F, Vaquet V, Hammer B (2024)
Frontiers in Artificial Intelligence 7.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
OA 1.29 MB
Abstract / Bemerkung

In an increasing number of industrial and technical processes, machine learning-based systems are being entrusted with supervision tasks. While they have been successfully utilized in many application areas, they frequently are not able to generalize to changes in the observed data, which environmental changes or degrading sensors might cause. These changes, commonly referred to as concept drift can trigger malfunctions in the used solutions which are safety-critical in many cases. Thus, detecting and analyzing concept drift is a crucial step when building reliable and robust machine learning-driven solutions. In this work, we consider the setting of unsupervised data streams which is highly relevant for different monitoring and anomaly detection scenarios. In particular, we focus on the tasks of localizing and explaining concept drift which are crucial to enable human operators to take appropriate action. Next to providing precise mathematical definitions of the problem of concept drift localization, we survey the body of literature on this topic. By performing standardized experiments on parametric artificial datasets we provide a direct comparison of different strategies. Thereby, we can systematically analyze the properties of different schemes and suggest first guidelines for practical applications. Finally, we explore the emerging topic of explaining concept drift.

Erscheinungsjahr
2024
Zeitschriftentitel
Frontiers in Artificial Intelligence
Band
7
eISSN
2624-8212
Finanzierungs-Informationen
Open-Access-Publikationskosten wurden durch die Universität Bielefeld gefördert.
Page URI
https://pub.uni-bielefeld.de/record/2991468

Zitieren

Hinder F, Vaquet V, Hammer B. One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift. Frontiers in Artificial Intelligence. 2024;7.
Hinder, F., Vaquet, V., & Hammer, B. (2024). One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift. Frontiers in Artificial Intelligence, 7. https://doi.org/10.3389/frai.2024.1330258
Hinder, Fabian, Vaquet, Valerie, and Hammer, Barbara. 2024. “One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift”. Frontiers in Artificial Intelligence 7.
Hinder, F., Vaquet, V., and Hammer, B. (2024). One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift. Frontiers in Artificial Intelligence 7.
Hinder, F., Vaquet, V., & Hammer, B., 2024. One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift. Frontiers in Artificial Intelligence, 7.
F. Hinder, V. Vaquet, and B. Hammer, “One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift”, Frontiers in Artificial Intelligence, vol. 7, 2024.
Hinder, F., Vaquet, V., Hammer, B.: One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift. Frontiers in Artificial Intelligence. 7, (2024).
Hinder, Fabian, Vaquet, Valerie, and Hammer, Barbara. “One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift”. Frontiers in Artificial Intelligence 7 (2024).
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Creative Commons Namensnennung 4.0 International Public License (CC-BY 4.0):
Volltext(e)
Access Level
OA Open Access
Zuletzt Hochgeladen
2024-07-22T12:17:27Z
MD5 Prüfsumme
985a4812b2f080f3d5f30c8b6b7e7a7c


Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

References

Daten bereitgestellt von Europe PubMed Central.

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®
Quellen

PMID: 39100107
PubMed | Europe PMC

Suchen in

Google Scholar