L-measure evaluation metric for fake information detection models with binary class imbalance-Reference-Cited by-同舟云学术

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L-measure evaluation metric for fake information detection models with binary class imbalance

Published:2020-10-05 Issue:10 Volume:15 Page:1587-1606
ISSN:1751-7575
Container-title:Enterprise Information Systems
language:en
Short-container-title:Enterprise Information Systems

Author:

Li Li¹²,Wang Yong¹^ORCID,Hsu Chia-Yu³,Li Yibin⁴,Lin Kuo-Yi¹²^ORCID

Affiliation:

1. College of Electronics and Information Engineering, Tongji University, Shanghai, China

2. Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China

3. Industrial Engineering of Management, National Taipei University of Technology, Taipei, China

4. Department of Economics and Finance, Tongji University, Shanghai, China

Funder

National Key R&D Program of China

Shanghai Municipal Commission of Science and Technology

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Information Systems and Management,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/17517575.2020.1825821

Reference46 articles.

1. iSRD: Spam review detection with imbalanced data distributions

2. Contributions to the study of SMS spam filtering

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