SCODED: Statistical Constraint Oriented Data Error Detection
Summary: SCODED uses Statistical Constraints (SCs) for data cleaning, aligning with integrity constraints for insight and downstream use. Two parts SC Violation Detection and Error Drill Down (topk); experiments on synthetic data show SCs beat latest methods. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jing Nathan Yan (Cornell University; Simon Fraser University)
- 2. Oliver Schulte (Simon Fraser University)
- 3. MoHan Zhang (Simon Fraser University)
- 4. Jiannan Wang (Simon Fraser University)
- 5. Reynold Cheng (University of Hong Kong)
BibTeX Citation
@inproceedings{yan_sigmod20,
title = {{SCODED: Statistical Constraint Oriented Data Error Detection}},
author = {Yan, Jing Nathan and Schulte, Oliver and Zhang, MoHan and Wang, Jiannan and Cheng, Reynold},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3380568},
url = {https://dl.acm.org/doi/10.1145/3318464.3380568},
year = {2020}
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