Using hybrid associative classifier with translation (HACT) for studying imbalanced data sets

Cleofas Sánchez, Laura; Guzmán Escobedo, M.; Valdovinos Rosas, Rosa María; Yáñez Márquez, Cornelio; Camacho Nieto, Oscar

Using hybrid associative classifier with translation (HACT) for studying imbalanced data sets

Cleofas Sánchez, Laura; Guzmán Escobedo, M.; Valdovinos Rosas, Rosa María; Yáñez Márquez, Cornelio; Camacho Nieto, Oscar

URI: http://hdl.handle.net/20.500.11799/135750

Descripción:

"Class imbalance may reduce the classifier performance in several recognition pattern problems. Such negative effect is more notable with least represented class (minority class) Patterns. A strategy for handling this problem consisted of treating the cla

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Título
Using hybrid associative classifier with translation (HACT) for studying imbalanced data sets
Editor
Universidad Nacional de Colombia
Tipo de documento
Artículo
Palabras clave
Ingeniería
pre
Data set
processing
under sampling
class imbalance