UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow
Summary: UniClean unifies heterogeneous cleaners for scalable mixed-error repair, with optimized preparation and cleaning workflows. It achieves substantial quality gains and hour-scale processing on million-record datasets, improving over prior methods by 30–40%. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Xiaoou Ding (Harbin Engineering University)
- 2. Zekai Qian (Harbin Engineering University)
- 3. Hongzhi Wang (Harbin Engineering University)
- 4. Siying Chen (Harbin Engineering University)
- 5. Yafeng Tang (Harbin Engineering University)
- 6. Hongbin Su (Harbin Engineering University)
- 7. Huan Hu (Huawei Cloud Computing Technologies Co., Ltd.)
- 8. Chen Wang (Tsinghua University)
BibTeX Citation
@article{ding_vldb25,
title = {{UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow}},
author = {Ding, Xiaoou and Qian, Zekai and Wang, Hongzhi and Chen, Siying and Tang, Yafeng and Su, Hongbin and Hu, Huan and Wang, Chen},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {4117--4130},
doi = {10.14778/3749646.3749681},
url = {https://doi.org/10.14778/3749646.3749681},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,060 | MAPPipe: A System for Bridging Efficiency and Quality in Data Preprocessing via Knowledge-Augmented Structural Pruning | 2026 | VLDB | 4.9605343e-05 |
| 11,493 | bNDCRepair: Cleaning both Data Errors and Inaccurate Constraints on Numerical Sequential Data | 2025 | VLDB | 4.9605343e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 27 of 27 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 | 6,327 | Qualitative Data Cleaning | 2016 | VLDB |
| 2 | 7,884 | Learning Over Dirty Data Without Cleaning | 2020 | SIGMOD |
| 3 | 2,429 | BigDansing: A System for Big Data Cleansing | 2015 | SIGMOD |
| 4 | 5,022 | Descriptive and Prescriptive Data Cleaning | 2014 | SIGMOD |
| 5 | 1,306 | Detecting Data Errors: Where are we and what needs to be done? | 2016 | VLDB |
| 6 | 12,226 | IHCS: An Integrated Hybrid Cleaning System | 2019 | VLDB |
| 7 | 13,794 | Data Cleaning in the Era of Data Science: Challenges and Opportunities | 2021 | CIDR |
| 8 | 2,752 | Uni-Detect: A Unified Approach to Automated Error Detection in Tables | 2019 | SIGMOD |
| 9 | 989 | Data Cleaning: Overview and Emerging Challenges | 2016 | SIGMOD |
| 10 | 7,320 | CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning | 2017 | VLDB |