| DOI | Trouver le DOI : https://doi.org/10.1109/DSAA53316.2021.9564135 |
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| Auteur | Rechercher : Koziarski, Michal; Rechercher : Bellinger, Colin1; Rechercher : Wozniak, Michal |
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| Affiliation | - Conseil national de recherches du Canada. Technologies numériques
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| Format | Texte, Article |
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| Conférence | 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA), October 6-9, 2021, Porto, Portugal |
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| Sujet | imbalanced data; voversampling; radial basis functions |
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| Résumé | In this paper we propose Radial-Based Combined Cleaning and Resampling (RB-CCR) algorithm. RB-CCR utilizes the concept of class potential to refine the energy-based resampling approach of previously proposed CCR algorithm. In particular, RB-CCR exploits the class potential to accurately locate sub-regions of the data-space for synthetic oversampling. The category sub-region for oversampling can be specified as an input parameter to meet domain-specific needs or be automatically selected via cross-validation. The results of the conducted experimental study show that RB-CCR achieves a better precision-recall trade-off than CCR and generally outperforms the state-of-the-art resampling methods in terms of AUC and G-mean. |
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| Date de publication | 2021-10-06 |
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| Maison d’édition | IEEE |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | c4cb8938-38ff-47ae-ae68-45f0bf675014 |
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| Enregistrement créé | 2022-02-01 |
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| Enregistrement modifié | 2022-02-01 |
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