An “Outside the Box” Solution for Imbalanced Data Classification

An “Outside the Box” Solution for Imbalanced Data Classification

A common problem of the real-world data sets is the class imbalance, which can significantly affect the classification abilities of classifiers. Numerous methods have been proposed to cope with this problem; however, even state-of-the-art methods offer a limited improvement (if any) for data sets wi...

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Bibliographic Details
Main Authors: Hubert Jegierski, Stanislaw Saganowski
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Class imbalance problem (CIP)
data enrichment
imbalanced data
classification
complex networks
supervised enrichment
Online Access:https://ieeexplore.ieee.org/document/9136875/

Internet

https://ieeexplore.ieee.org/document/9136875/

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