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

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 classes included in this problem separately (majo...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Ingeniería e Investigación
Päätekijät: Laura Cleofas Sánchez, M. Guzmán Escobedo, Rosa María Valdovinos Rosas, Cornelio Yáñez Márquez, Oscar Camacho Nieto
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Universidad Nacional de Colombia 2012
Aiheet:
Ingeniería
pre
Data set
processing
under sampling
class imbalance
Linkit:https://www.redalyc.org/articulo.oa?id=64323227010
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