An overview of unsupervised drift detection methods-Reference-Cited by-同舟云学术

An overview of unsupervised drift detection methods

Published:2020-07-21 Issue:6 Volume:10 Page:
ISSN:1942-4787
Container-title:WIREs Data Mining and Knowledge Discovery
language:en
Short-container-title:WIREs Data Mining Knowl Discov

Author:

Gemaque Rosana Noronha¹²^ORCID,Costa Albert França Josuá¹³,Giusti Rafael¹,Santos Eulanda Miranda¹^ORCID

Affiliation:

1. Institute of Computing Federal University of Amazonas Manaus Amazonas Brazil

2. National Institute for Amazonian Research Manaus Amazonas Brazil

3. Federal Institute of Amazonas ‐ Zona Leste Manaus Amazonas Brazil

Funder

Foundation for Research Support of the State of Amazonas (FAPEAM

Samsung Electronics of Amazonia Ltda

Publisher

Wiley

Subject

General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.1381

Reference58 articles.

1. Fraud detection system: A survey

2. Just-in-Time Adaptive Classifiers—Part I: Detecting Nonstationary Changes

3. Baena‐García M. delCampo Ávila J. Bifet A. Gavald R. &Morales‐Bueno R.(2006)Early drift detection method. In Proceedings of the 4th ECML PKDD International Workshop on Knowledge Discovery from Data Streams Berlin Germany pp.77–86.

4. A large-scale comparison of concept drift detectors

5. An overview and comprehensive comparison of ensembles for concept drift

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