An Adaptive Active Learning Method for Multiclass Imbalanced Data Streams with Concept Drift

An Adaptive Active Learning Method for Multiclass Imbalanced Data Streams with Concept Drift

Learning from multiclass imbalanced data streams with concept drift and variable class imbalance ratios under a limited label budget presents new challenges in the field of data mining. To address these challenges, this paper proposes an adaptive active learning method for multiclass imbalanced data...

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Bibliographic Details
Main Authors: Meng Han, Chunpeng Li, Fanxing Meng, Feifei He, Ruihua Zhang
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Applied Sciences
Subjects:
data stream classification
multiclass imbalance
concept drift
ensemble learning
active learning
Online Access:https://www.mdpi.com/2076-3417/14/16/7176

Internet

https://www.mdpi.com/2076-3417/14/16/7176

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