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A Hybrid Approach to Classify the Multiclass Imbalanced Dat..:
, In:
2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA)
,
Sridhar, S.
;
Anusuya
- p. 1084-1089 , 2023
Link:
https://doi.org/10.1109/ICIRCA57980.2023.10220626
RT T1 <cTitle>2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA)</cTitle>: T1 <Title>A Hybrid Approach to Classify the Multiclass Imbalanced Datasets</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10220626&Exemplar=1&LAN=DE A1 Sridhar, S. A1 Anusuya YR 2023 K1 Costs K1 Fitting K1 Predictive models K1 Prediction algorithms K1 Data models K1 Hybrid power systems K1 Classification algorithms K1 Majority class K1 Minority class K1 Random Oversampling K1 SMOTE K1 Correlation K1 Clustering K1 PCA K1 Decision Tree K1 G-Mean SP 1084 OP 1089 LK http://dx.doi.org/https://doi.org/10.1109/ICIRCA57980.2023.10220626 DO https://doi.org/10.1109/ICIRCA57980.2023.10220626 SF ELIB - SuUB Bremen
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