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Auto-Detect: Data-Driven Error Detection in Tables
Summary: Auto-Detect uses co-occurrence statistics from corpora to detect errors in a column, beyond regexlike rules. An ensemble of generalization languages handles diverse errors via global statistics; Wikipedia tables and Excel validate; benchmark released.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 5536
- Venue
- SIGMOD
- Year
- 2018
- Pagerank
- 8.6254741e-05
- Overall Rank
- 2,507 | 82.58%
- DOI
-
10.1145/3183713.3196889
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 17 of 17 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,340 |
HoloDetect: Few-Shot Learning for Error Detection |
2019 |
SIGMOD |
0.00012492795 |
| 2,161 |
Uni-Detect: A Unified Approach to Automated Error Detection in Tables |
2019 |
SIGMOD |
9.4029915e-05 |
| 2,585 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
8.4909917e-05 |
| 3,254 |
Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks |
2020 |
SIGMOD |
7.3172324e-05 |
| 3,303 |
SCODED: Statistical Constraint Oriented Data Error Detection |
2020 |
SIGMOD |
7.2438671e-05 |
| 3,397 |
Automatic Data Repair: Are We Ready to Deploy? |
2024 |
VLDB |
7.1386386e-05 |
| 3,483 |
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations |
2018 |
VLDB |
7.0493668e-05 |
| 5,096 |
Auto-Transform: Learning-to-Transform by Patterns |
2020 |
VLDB |
5.6960764e-05 |
| 5,203 |
Pattern Functional Dependencies for Data Cleaning |
2020 |
VLDB |
5.628087e-05 |
| 5,207 |
ANMAT: Automatic Knowledge Discovery and Error Detection through Pattern Functional Dependencies |
2019 |
SIGMOD |
5.6254804e-05 |
| 7,769 |
ICARUS: Minimizing Human Effort in Iterative Data Completion |
2018 |
VLDB |
4.6520279e-05 |
| 7,840 |
Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes |
2021 |
SIGMOD |
4.6337164e-05 |
| 9,354 |
GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models |
2024 |
SIGMOD |
4.3484715e-05 |
| 9,395 |
DataVinci: Learning Syntactic and Semantic String Repairs |
2025 |
SIGMOD |
4.3399748e-05 |
| 10,026 |
Minimum Change ≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,521 |
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,606 |
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence |
2025 |
VLDB |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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