Unsupervised concept drift detection for multi-label data streams

Author:

Gulcan Ege BerkayORCID,Can FazliORCID

Funder

Turkcell İletişim A. Ş

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference62 articles.

1. Aho A, Ullman J (2022) Abstractions, their algorithms, and their compilers. Commun ACM 65(2):76–91

2. Baena-Garcıa M, del Campo-Ávila J, Fidalgo R, et al (2006) Early drift detection method. In: Fourth international workshop on knowledge discovery from data streams, pp 77–86

3. Bahri M, Bifet A, Gama J et al (2021) Data stream analysis: Foundations, major tasks and tools. Wiley Interdiscip Rev: Data Min Knowl Discov 11(3):e1405

4. Barros RS, Cabral DR, Gonçalves PM Jr et al (2017) Rddm: reactive drift detection method. Expert Syst Appl 90:344–355

5. Bifet A, Gavalda R (2007) Learning from time-changing data with adaptive windowing. In: Proceedings of the 2007 SIAM international conference on data mining, SIAM, pp 443–448

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