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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)

Paper ID
6203
Venue
SIGMOD
Year
2021
Pagerank
5.5669307e-05
Overall Rank
7,690 | 47.25%
DOI
10.1145/3448016.3457250

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.

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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.

Rank Cited Paper Year Venue Pagerank
30 SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets 2008 VLDB 0.00051174276
94 Potter's Wheel: An Interactive Data Cleaning System 2001 VLDB 0.00034616103
159 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00028129426
376 Discovering Denial Constraints 2013 VLDB 0.00019677674
432 Mining Database Structure; Or, How to Build a Data Quality Browser 2002 SIGMOD 0.00018572055
618 A Hybrid Approach to Functional Dependency Discovery 2016 SIGMOD 0.00015711835
647 Discovering Data Quality Rules 2008 VLDB 0.00015334666
946 HoloDetect: Few-Shot Learning for Error Detection 2019 SIGMOD 0.00013054126
1,147 Data Management Challenges in Production Machine Learning 2017 SIGMOD 0.00011974846
1,350 Automating Large-Scale Data Quality Verification 2018 VLDB 0.00011065626
2,123 Discovery of Genuine Functional Dependencies from Relational Data with Missing Values 2018 VLDB 9.1372798e-05
2,223 Sato: Contextual Semantic Type Detection in Tables 2020 VLDB 8.9189986e-05
2,297 Raha: A Configuration-Free Error Detection System 2019 SIGMOD 8.7897221e-05
2,567 ClusterJoin: A Similarity Joins Framework using Map-Reduce 2014 VLDB 8.4098241e-05
2,728 Uni-Detect: A Unified Approach to Automated Error Detection in Tables 2019 SIGMOD 8.1995954e-05
3,004 SCODED: Statistical Constraint Oriented Data Error Detection 2020 SIGMOD 7.8608629e-05
3,147 Auto-Detect: Data-Driven Error Detection in Tables 2018 SIGMOD 7.7077175e-05
4,642 Data Auditor: Exploring Data Quality and Semantics using Pattern Tableaux 2010 VLDB 6.5908277e-05
5,268 ANMAT: Automatic Knowledge Discovery and Error Detection through Pattern Functional Dependencies 2019 SIGMOD 6.2923403e-05
6,436 Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code 2018 SIGMOD 5.8793793e-05
6,801 Unit Testing Data with Deequ 2019 SIGMOD 5.7690726e-05
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