A novel graph-based missing values imputation method for industrial lubricant data

Research article (Computers in Industry, 2023) · cited 16× · AI/ML
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A novel graph-based missing values imputation method for industrial lubricant data

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A novel graph-based missing values imputation method for industrial lubricant data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A novel graph-based missing values imputation method for industrial lubricant data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-graph-based-missing-values-imputation-method-for-industrial-lubricant-data
MLA “A novel graph-based missing values imputation method for industrial lubricant data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-graph-based-missing-values-imputation-method-for-industrial-lubricant-data.
BibTeX @misc{4ortxyz_a-novel-graph-based-missing-values-imputation-method-for-industrial-lubricant-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel graph-based missing values imputation method for industrial lubricant data}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-graph-based-missing-values-imputation-method-for-industrial-lubricant-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel graph-based missing values imputation method for industrial lubricant data — https://4ort.xyz/entity/a-novel-graph-based-missing-values-imputation-method-for-industrial-lubricant-data (retrieved 2026-05-24)

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