Enhancing the Effectiveness and Interpretability of Decision Tree and Rule Induction Classifiers with Evolutionary Training Set Selection over Imbalanced Problems

TitleEnhancing the Effectiveness and Interpretability of Decision Tree and Rule Induction Classifiers with Evolutionary Training Set Selection over Imbalanced Problems
Publication TypeJournal Article
Year of Publication2009
AuthorsGarcía, S., Fernández A., and Herrera F.
JournalApplied Soft Computing
Volume9
Pagination1304-1314
DOI10.1016/j.asoc.2009.04.004