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1 Ergebnisse
1
Analyzing Oversampling and Machine Learning Approaches for ..:
, In:
2023 IEEE 21st Student Conference on Research and Development (SCOReD)
,
Navastara, Dini Adni
;
Fatichah, Chastine
;
Niza, Yulia
.. - p. 27-32 , 2023
Link:
https://doi.org/10.1109/SCOReD60679.2023.10563710
RT T1 <cTitle>2023 IEEE 21st Student Conference on Research and Development (SCOReD)</cTitle>: T1 <Title>Analyzing Oversampling and Machine Learning Approaches for Imbalanced Dataset Classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10563710&Exemplar=1&LAN=DE A1 Navastara, Dini Adni A1 Fatichah, Chastine A1 Niza, Yulia A1 Sari, Fiqey Indriati Eka A1 Jalil, Muchamad Maroqi Abdul YR 2023 SN 2643-2447 K1 COVID-19 K1 Measurement K1 Learning systems K1 Training data K1 Predictive models K1 Credit cards K1 Data models K1 Classification K1 Machine Learning K1 Ensemble Learning K1 Oversampling K1 Imbalanced Data SP 27 OP 32 LK http://dx.doi.org/https://doi.org/10.1109/SCOReD60679.2023.10563710 DO https://doi.org/10.1109/SCOReD60679.2023.10563710 SF ELIB - SuUB Bremen
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