JOURNAL ARTICLE

The Gradual Resampling Ensemble for mining imbalanced data streams with concept drift

Siqi RenBo LiaoWen ZhuLi ZengWei LiuKeqin Li

Year: 2018 Journal:   Neurocomputing Vol: 286 Pages: 150-166   Publisher: Elsevier BV
Keywords:
Oversampling Computer science Cluster analysis Data mining Classifier (UML) Resampling Outlier Artificial intelligence Concept drift Set (abstract data type) Machine learning Data stream mining Similarity (geometry) Class (philosophy) Current (fluid) Pattern recognition (psychology) Bandwidth (computing)

Metrics

60
Cited By
6.16
FWCI (Field Weighted Citation Impact)
69
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Data Stream Mining Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Imbalanced Data Classification Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

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