Data Cleaning: Overview and Emerging Challenges
Summary: Presents a taxonomy of data cleaning, focusing on constraint- and pattern-based detection and repair for data quality. Links qualitative cleaning to ML and statistics, addressing scalability for big data and its impact on analytics, with a statistical view on inference. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xu Chu (University of Waterloo)
- 2. Ihab F. Ilyas (University of Waterloo)
- 3. Sanjay Krishnan (University of California Berkeley)
- 4. Jiannan Wang (Simon Fraser University)
BibTeX Citation
@inproceedings{chu_sigmod16,
title = {{Data Cleaning: Overview and Emerging Challenges}},
author = {Chu, Xu and Ilyas, Ihab F. and Krishnan, Sanjay and Wang, Jiannan},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2912574},
url = {https://dl.acm.org/doi/10.1145/2882903.2912574},
year = {2016}
}
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