Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes
Summary: Unsupervised, corpus-driven validation infers data-domain patterns from data lakes to auto-validate data, reducing false positives on strings. Production datalake evaluation shows improved quality-issue detection vs prior methods; Azure Purview Auto-Tag. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
BibTeX Citation
@inproceedings{song_sigmod21,
title = {{Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes}},
author = {Song, Jie and He, Yeye},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3457250},
url = {https://dl.acm.org/doi/10.1145/3448016.3457250},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,099 | Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks | 2024 | SIGMOD | 9.1682353e-05 |
| 3,073 | DeepJoin: Joinable Table Discovery with Pre-trained Language Models | 2023 | VLDB | 7.785842e-05 |
| 10,317 | Guardrail: Automated Integrity Constraint Synthesis From Noisy Data | 2026 | SIGMOD | 5.093636e-05 |
| 10,785 | Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables | 2025 | SIGMOD | 5.093636e-05 |
| 10,909 | LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation | 2025 | VLDB | 5.093636e-05 |
| 11,270 | Searching Data Lakes for Nested and Joined Data | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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