CoClean: Collaborative Data Cleaning
Summary: CoClean enables crowd-in-the-loop data cleaning for Pandas via Collaborative dataframe (CDF), aggregating annotations from multiple users. Data assignment lay GUI cleaning, power-user Jupyter scripting, repair hints, supports blind-on/off collaboration. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mashaal Musleh (University of Minnesota)
- 2. Mourad Ouzzani (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 3. Nan Tang (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 4. AnHai Doan (University of Wisconsin)
BibTeX Citation
@inproceedings{musleh_sigmod20,
title = {{CoClean: Collaborative Data Cleaning}},
author = {Musleh, Mashaal and Ouzzani, Mourad and Tang, Nan and Doan, AnHai},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3334698},
url = {https://dl.acm.org/doi/10.1145/3318464.3334698},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,647 | Rock: Cleaning Data by Embedding ML in Logic Rules | 2024 | SIGMOD | 5.2430158e-05 |
| 9,993 | In-Database Data Imputation | 2024 | SIGMOD | 5.1815618e-05 |
| 10,867 | Weak-to-Strong Prompts with Lightweight-to-Powerful LLMs for High-Accuracy, Low-Cost, and Explainable Data Transformation | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 112 | HoloClean: Holistic Data Repairs with Probabilistic Inference | 2017 | VLDB | 0.00032801121 |
| 1,351 | Detecting Data Errors: Where are we and what needs to be done? | 2016 | VLDB | 0.00011064851 |
| 2,297 | Raha: A Configuration-Free Error Detection System | 2019 | SIGMOD | 8.7897221e-05 |
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Semantically Similar Papers
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|---|---|---|---|---|
| 1 | 6,499 | A Demonstration of DBWipes: Clean as You Query | 2012 | VLDB |
| 2 | 11,471 | Building a Collaborative Data Analytics System: Opportunities and Challenges | 2023 | VLDB |
| 3 | 7,387 | PIClean: A Probabilistic and Interactive Data Cleaning System | 2019 | SIGMOD |
| 4 | 13,435 | Data Cleaning in the Era of Data Science: Challenges and Opportunities | 2021 | CIDR |
| 5 | 9,928 | EasyDR: A Human-in-the-loop Error Detection&Repair Platform for Holistic Table Cleaning | 2022 | VLDB |
| 6 | 7,179 | CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning | 2017 | VLDB |
| 7 | 7,749 | CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning | 2021 | SIGMOD |
| 8 | 9,298 | VisClean: Interactive Cleaning for Progressive Visualization | 2020 | VLDB |
| 9 | 3,402 | Collaborative Data Analytics with DataHub | 2015 | VLDB |
| 10 | 11,713 | From Papers to Practice: The openclean Open-Source Data Cleaning Library | 2021 | VLDB |