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)
Incoming Non-self Citations Over Time
Authors
- 1. Zhipeng Huang (University of Hong Kong)
- 2. Yeye He (Microsoft)
BibTeX Citation
@inproceedings{huang_sigmod18,
title = {{Auto-Detect: Data-Driven Error Detection in Tables}},
author = {Huang, Zhipeng and He, Yeye},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3196889},
url = {https://dl.acm.org/doi/10.1145/3183713.3196889},
year = {2018}
}
Incoming Citations (Sorted by Pagerank)
Showing 17 of 17 citing papers.
Previous
Page 1 / 1
Next
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.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,322 | Minimum Change ≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints | 2026 | SIGMOD |
| 2 | 533 | Improving Data Quality: Consistency and Accuracy | 2007 | VLDB |
| 3 | 3,580 | Automatic Data Repair: Are We Ready to Deploy? | 2024 | VLDB |
| 4 | 2,981 | Towards Dependable Data Repairing with Fixing Rules | 2014 | SIGMOD |
| 5 | 11,048 | Demonstrating Matelda for Multi-Table Error Detection | 2025 | VLDB |
| 6 | 2,980 | Auto-Join: Joining Tables by Leveraging Transformations | 2017 | VLDB |
| 7 | 7,690 | Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes | 2021 | SIGMOD |
| 8 | 1,351 | Detecting Data Errors: Where are we and what needs to be done? | 2016 | VLDB |
| 9 | 10,785 | Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables | 2025 | SIGMOD |
| 10 | 2,728 | Uni-Detect: A Unified Approach to Automated Error Detection in Tables | 2019 | SIGMOD |