Instance Selection Methods and Resampling Techniques for Dissimilarity Representation with Imbalanced Data Sets

Abstract

… However, many real-world problems are characterized by an imbalanced class distribution. In this paper, we address the problem of instance selection for constructing the dissimilarity space in the imbalanced data context. Class imbalance is handled by resampling the data set, …