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Performance evaluation of seven multi-label classification methods on real-world patent and publication datasets Cover

Performance evaluation of seven multi-label classification methods on real-world patent and publication datasets

Journal of Data and Information Science
Volume 9 (2024): Issue 2 (April 2024)
By: Shuo Xu,  Yuefu Zhang,  Xin An and  Sainan Pi  
Open Access
|May 2024

Authors

Shuo Xu

College of Economics and Management, Beijing University of Technology, Beijing, China

Yuefu Zhang

College of Economics and Management, Beijing University of Technology, Beijing, China

Xin An

anxin@bjfu.edu.cn

School of Economics & Management, Beijing Forestry University, Beijing, China

Sainan Pi

School of Economics & Management, Beijing Forestry University, Beijing, China
DOI: https://doi.org/10.2478/jdis-2024-0014 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 81 - 103
Submitted on: Nov 5, 2023
Accepted on: Feb 26, 2024
Published on: May 27, 2024
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Multi-label classification,
Real-World datasets,
Hierarchical structure,
Classification system,
Label correlation,
Machine learning
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2024 Shuo Xu, Yuefu Zhang, Xin An, Sainan Pi, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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