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International Journal of Applied Mathematics and Computer Science
Volume 29 (2019): Issue 4 (December 2019)
Open Access
Using Information on Class Interrelations to Improve Classification of Multiclass Imbalanced Data: A New Resampling Algorithm
Małgorzata Janicka
Małgorzata Janicka
,
Mateusz Lango
Mateusz Lango
and
Jerzy Stefanowski
Jerzy Stefanowski
| Dec 31, 2019
International Journal of Applied Mathematics and Computer Science
Volume 29 (2019): Issue 4 (December 2019)
New Perspectives in Nonlinear and Intelligent Control (In Honor of Alexander P. Kurdyukov) (special section, pp. 629-712), Julio B. Clempner, Enso Ikonen, Alexander P. Kurdyukov (Eds.)
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Published Online:
Dec 31, 2019
Page range:
769 - 781
Received:
Dec 14, 2018
Accepted:
Jul 12, 2019
DOI:
https://doi.org/10.2478/amcs-2019-0057
Keywords
imbalanced data
,
multi-class learning
,
re-sampling
,
data difficulty factors
,
similarity degrees
© 2019 Małgorzata Janicka et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Małgorzata Janicka
Institute of Computing Sciences, Poznan University of Technology
Poznań, Poland
Mateusz Lango
Institute of Computing Sciences, Poznan University of Technology
Poznań, Poland
Jerzy Stefanowski
Institute of Computing Sciences, Poznan University of Technology
Poznań, Poland