Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems

By Salvador Garcia, Alberto Fernández, Francisco Herrera. 2009

109 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Francisco Herrera
2. Salvador Garcia
3. Alberto Fernández
4. Victoria López
5. Vasile Palade
6. Bartosz Krawczyk
7. M. J. Jesús
8. Julián Luengo

In Information Systems

1. Francisco Herrera
2. Salvador Garcia
3. Alberto Fernández
4. Victoria López
5. Vasile Palade

Citations in the corpus

• An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics (2013, background): “Also, a training set selection can be carried out in the area of imbalanced datasets [51,52].”