Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE

Douzas, G., Bação, F., & Last, F. (2018). Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE. Information Sciences, 465, 1-20. DOI: 10.1016/j.ins.2018.06.056

Bibliographic Details
Main Author: Douzas, Georgios (author)
Other Authors: Bação, Fernando (author), Last, Felix (author)
Format: article
Language:eng
Published: 2022
Subjects:
Class-imbalanced learning
Classification
Clustering
Oversampling
Supervised learning
Within-class imbalance
Software
Control and Systems Engineering
Theoretical Computer Science
Computer Science Applications
Information Systems and Management
Artificial Intelligence
Online Access:https://doi.org/10.1016/j.ins.2018.06.056
Country:Portugal
Oai:oai:run.unl.pt:10362/85456

Internet

https://doi.org/10.1016/j.ins.2018.06.056

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