Two Stage Comparison of Classifier Performances for Highly Imbalanced Datasets

During the process of knowledge discovery in data, imbalanced learning data often emerges and presents a significant challenge for data mining methods. In this paper, we investigate the influence of class imbalanced data on the classification results of artificial intelligence methods, i.e. neural n...

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Bibliographic Details
Main Authors: Goran Oreški, Stjepan Oreški
Format: Article
Language:English
Published: University of Zagreb, Faculty of organization and informatics 2015-12-01
Series:Journal of Information and Organizational Sciences
Subjects:
Online Access:http://jios.foi.hr/index.php/jios/article/view/937