Using Information on Class Interrelations to Improve Classification of Multiclass Imbalanced Data: A New Resampling Algorithm

Małgorzata Janicka; Mateusz Lango; Jerzy Stefanowski

doi:10.2478/amcs-2019-0057

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Title

Using Information on Class Interrelations to Improve Classification of Multiclass Imbalanced Data: A New Resampling Algorithm

Authors

Małgorzata Janicka (WI) ^{[ 1 ][ S ]}
Mateusz Lango (WI) ^{[ 1 ][ 2.3 ][ P ]}
Jerzy Stefanowski (WI) ^{[ 1 ][ 2.3 ][ P ]}

^{[ 1 ]} Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | ^{[ S ]} student | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2019

Published in

International Journal of Applied Mathematics and Computer Science

Journal year: 2019 | Journal volume: vol. 29 | Journal number: no. 4

Article type

scientific article

Publication language

polish

Keywords

PL

imbalanced data
multi-class learning
re-sampling
data difficulty factors
similarity degrees

Date of online publication

31.12.2019

Pages (from - to)

769 - 781

DOI

10.2478/amcs-2019-0057

URL

https://www.degruyter.com/view/j/amcs.2019.29.issue-4/amcs-2019-0057/amcs-2019-0057.xml

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / journal

100

Ministry points / journal in years 2017-2021

100

Impact Factor

0,967

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