Qualitative Data Cleaning
Summary: Proposes a taxonomy of qualitative error detection and repair methods for data cleaning in database research. Discusses scaling and distribution challenges for data and contrasts human-in-the-loop with automated/script-based repair. (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)
BibTeX Citation
@article{chu_vldb16,
title = {{Qualitative Data Cleaning}},
author = {Chu, Xu and Ilyas, Ihab F.},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {13},
pages = {1605},
doi = {10.14778/3007263.3007320},
url = {https://doi.org/10.14778/3007263.3007320},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,297 | Raha: A Configuration-Free Error Detection System | 2019 | SIGMOD | 8.7897221e-05 |
| 4,966 | Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond | 2021 | SIGMOD | 6.4225454e-05 |
| 10,303 | Understanding the Impact of Data Noise in Federated Learning: [Experiments & Analysis] | 2026 | SIGMOD | 5.093636e-05 |
| 10,966 | UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 25 of 25 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
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|---|---|---|---|---|
| 1 | 201 | Declarative Data Cleaning: Language, Model, and Algorithms | 2001 | VLDB |
| 2 | 11,343 | Generalizable Data Cleaning of Tabular Data in Latent Space | 2024 | VLDB |
| 3 | 2,041 | Combining Quantitative and Logical Data Cleaning | 2016 | VLDB |
| 4 | 1,914 | Statistical Distortion: Consequences of Data Cleaning | 2012 | VLDB |
| 5 | 3,580 | Automatic Data Repair: Are We Ready to Deploy? | 2024 | VLDB |
| 6 | 13,435 | Data Cleaning in the Era of Data Science: Challenges and Opportunities | 2021 | CIDR |
| 7 | 1,351 | Detecting Data Errors: Where are we and what needs to be done? | 2016 | VLDB |
| 8 | 4,890 | Descriptive and Prescriptive Data Cleaning | 2014 | SIGMOD |
| 9 | 1,484 | Data Quality and Data Cleaning: An Overview | 2003 | SIGMOD |
| 10 | 1,323 | Data Cleaning: Overview and Emerging Challenges | 2016 | SIGMOD |