G-SOMO : an oversampling approach based on self-organized map oversampling and geometric SMOTE

Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics

Bibliographic Details
Main Author: Rauch, Rene (author)
Format: masterThesis
Language:eng
Published: 2019
Subjects:
Oversampling
Imbalanced Learning
Clustering
Synthetic Data Generation
Online Access:http://hdl.handle.net/10362/63811
Country:Portugal
Oai:oai:run.unl.pt:10362/63811

Internet

http://hdl.handle.net/10362/63811

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