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VCR-imputer: Discrete data imputation considering variable causal relationships
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AI
DOI：10.1016/j.eswa.2025.129219.png)
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Abstract
En 中文
• A novel imputation method, named VCR-imputer, is proposed. • A two-steps framework of imputation considering causal relationships is designed. • A method containing RCIT and LLM is used in identified causal relationships. • Causal features between variables are treated as neighborhood variables for imputation. • The superior performance of the CR-imputer is demonstrated by extensive experimental validation.
Keywords:
VCR-imputer
causal relationships
imputation method
RCIT
LLM
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W