TY  - GEN 
AU  - Sáez Muñoz, José Antonio
AU  - Herrera Triguero, Francisco
PY  - 2014
UR  - https://hdl.handle.net/10481/77962
AB  - Imbalance data constitutes a great difficulty for most algorithms
learning classifiers. However, as recent works claim, class imbalance
is not a problem in itself and performance degradation is also associated
with other factors related to the...
LA  - eng
PB  - Springer
KW  - Classification
KW  - Imbalanced data
KW  - SMOTE
KW  - Class noise
KW  - Noise filters
TI  - Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering
ER  -