ActiveClean: Interactive Data Cleaning For Statistical Modeling
Summary: ActiveClean enables progressive, iterative cleaning during convex-loss model training while preserving convergence guarantees. It prioritizes records most likely to affect model parameters, achieving substantially higher accuracy than uniform sampling and active learning under fixed cleaning budgets. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sanjay Krishnan (University of California Berkeley)
- 2. Jiannan Wang (Simon Fraser University)
- 3. Eugene Wu (Columbia University)
- 4. Michael J. Franklin (University of California Berkeley)
- 5. Ken Goldberg (University of California Berkeley)
BibTeX Citation
@article{krishnan_vldb16,
title = {{ActiveClean: Interactive Data Cleaning For Statistical Modeling}},
author = {Krishnan, Sanjay and Wang, Jiannan and Wu, Eugene and Franklin, Michael J. and Goldberg, Ken},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {12},
pages = {948--959},
doi = {10.14778/2994509.2994511},
url = {https://doi.org/10.14778/2994509.2994511},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 53 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,699 | LinCQA: Faster Consistent Query Answering with Linear Time Guarantees | 2023 | SIGMOD | 4.9793485e-05 |
| 11,936 | Ease.ML: A Lifecycle Management System for MLDev and MLOps | 2021 | CIDR | 4.9793485e-05 |
| 12,177 | IHCS: An Integrated Hybrid Cleaning System | 2019 | VLDB | 4.9793485e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 343 | Model-Driven Data Acquisition in Sensor Networks | 2004 | VLDB | 0.00020519525 |
| 433 | Corleone: Hands-Off Crowdsourcing for Entity Matching | 2014 | SIGMOD | 0.00018332741 |
| 652 | Don’t be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes | 2013 | SIGMOD | 0.00015121325 |
| 716 | Guided Data Repair | 2011 | VLDB | 0.00014553463 |
| 1,720 | A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data | 2014 | SIGMOD | 9.7965659e-05 |
| 2,504 | Query-Oriented Data Cleaning with Oracles | 2015 | SIGMOD | 8.3782213e-05 |
| 2,642 | Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning | 2015 | VLDB | 8.1778168e-05 |
| 2,645 | Progressive Approach to Relational Entity Resolution | 2014 | VLDB | 8.177221e-05 |
| 5,881 | ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning | 2016 | SIGMOD | 5.9588636e-05 |
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