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Granular Classification for Imbalanced Datasets: A Minkowski Distance-Based Method

The problem of classification for imbalanced datasets is frequently encountered in practical applications. The data to be classified in this problem are skewed, i.e., the samples of one class (the minority class) are much less than those of other classes (the majority class). When dealing with imbal...

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Bibliografske podrobnosti
Principais autores: Chen Fu, Jianhua Yang
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2021-02-01
Serija:Algorithms
Teme:
Online dostop:https://www.mdpi.com/1999-4893/14/2/54
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