Outlier detection for partially labeled categorical data based on conditional information entropy

DOI10.1016/j.ijar.2023.109086zbMATH Open1543.68383MaRDI QIDQ6570311

Zhaowen Li, Dan Huang, Rongrong Wang, Zhengwei Zhao

Publication date: 10 July 2024

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

zbMATH Keywords

outlier detectionconditional information entropypartially labeled categorical datapartially labeled categorical decision information system

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Measures of information, entropy (94A17) Computational aspects of data analysis and big data (68T09)

Cites Work

• Uncertainty measures of rough set prediction
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• THE INFORMATION ENTROPY, ROUGH ENTROPY AND KNOWLEDGE GRANULATION IN ROUGH SET THEORY
• Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection
• Data adaptive functional outlier detection: analysis of the Paris bike sharing system data
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