An Investigation of SMOTE based Methods for Imbalanced Datasets with Data Complexity Analysis-Reference-Cited by-同舟云学术

An Investigation of SMOTE based Methods for Imbalanced Datasets with Data Complexity Analysis

Published:2022 Issue: Volume: Page:1-1
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Azhar Nur Athirah¹,Mohd Pozi Muhammad Syafiq²,Mohamed Din Aniza³,Jatowt Adam⁴

Affiliation:

1. Malaysian Investment Development Authority, Malaysia

2. Institute for Advanced and Smart Digital Opportunities, School of Computing, Universiti Utara Malaysia, and the Institute of IR 4.0, Universiti Kebangsaan Malaysia

3. Data Science Research Lab, School of Computing, Universiti Utara Malaysia

4. Department of Computer Science and Digital Science Center at the University of Innsbruck, Innsbruck, Tirol, Austria

Funder

Ministry of Higher Education Malaysia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09786661.pdf?arnumber=9786661

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