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Uni-Detect: A Unified Approach to Automated Error Detection in Tables
Summary: UniDetect: unified error detection for tables using what-if perturbations and cross-table hypothesis tests, no per-dataset tuning required. It finds FD violations, numeric outliers, spelling mistakes, and outperforms specialized methods.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
h5413f799ac4e77d2
Venue
SIGMOD
Year
2019
Pagerank
8.0572603e-05
Overall Rank
2,748 | 81.54%
DOI
10.1145/3299869.3319855
Incoming Non-self Citations Over Time
BibTeX Citation
@inproceedings{wang_sigmod19,
title = {{Uni-Detect: A Unified Approach to Automated Error Detection in Tables}},
author = {Wang, Pei and He, Yeye},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3319855},
url = {https://dl.acm.org/doi/10.1145/3299869.3319855},
year = {2019}
}
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Outgoing Citations (Sorted by Pagerank)
Showing 27 of 27 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Rank
Cited Paper
Year
Venue
Pagerank
89
WebTables: Exploring the Power of Tables on the Web 2008
VLDB
0.00035115118
95
Potter's Wheel: An Interactive Data Cleaning System 2001
VLDB
0.00034367518
104
HoloClean: Holistic Data Repairs with Probabilistic Inference 2017
VLDB
0.00033676943
142
LOF: Identifying Density-Based Local Outliers 2000
SIGMOD
0.00029189529
160
CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004
SIGMOD
0.00027827605
188
A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification 2005
SIGMOD
0.00025861123
350
Discovering Denial Constraints 2013
VLDB
0.00020244085
435
Mining Database Structure; Or, How to Build a Data Quality Browser 2002
SIGMOD
0.0001831946
526
Improving Data Quality: Consistency and Accuracy 2007
VLDB
0.00016879
618
Reasoning about Record Matching Rules 2009
VLDB
0.0001553004
650
Discovering Data Quality Rules 2008
VLDB
0.00015142855
652
Don’t be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes 2013
SIGMOD
0.00015114401
695
Algorithms for Mining Distance-Based Outliers in Large Datasets 1998
VLDB
0.00014696154
1,095
BlinkFill: Semi-supervised Programming By Example for Syntactic String Transformations 2016
VLDB
0.00012048043
1,098
KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing 2015
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0.00012031983
1,308
Automating Large-Scale Data Quality Verification 2018
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0.00011073863
1,344
Detecting Data Errors: Where are we and what needs to be done? 2016
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0.00010951939
1,394
Data Profiling with Metanome 2015
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0.00010791559
2,127
Discovery of Genuine Functional Dependencies from Relational Data with Missing Values 2018
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8.9990594e-05
2,613
Auto-Join: Joining Tables by Leveraging Transformations 2017
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8.2229082e-05
2,744
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations 2018
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8.064168e-05
2,962
Auto-Detect: Data-Driven Error Detection in Tables 2018
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7.8038782e-05
3,281
Controlling False Discoveries During Interactive Data Exploration 2017
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7.4574856e-05
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TEGRA: Table Extraction by Global Record Alignment 2015
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7.1558238e-05
4,204
SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora 2015
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6.7331936e-05
4,724
Data Auditor: Exploring Data Quality and Semantics using Pattern Tableaux 2010
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