ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning
Summary: ActiveClean is a progressive data-cleaning framework that interleaves cleaning with ML training, updating models as analysts clean small data batches. Key ideas include importance weighting, dirty-data detection, and a visual interface, enabling robust learning in high-dimensional pipelines, demonstrated on video classification and topic modeling. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sanjay Krishnan
- 2. Michael J. Franklin
- 3. Ken Goldberg
- 4. Jiannan Wang
- 5. Eugene Wu
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 788 | ActiveClean: Interactive Data Cleaning For Statistical Modeling | 2016 | VLDB | 0.00016618698 |
| 1,481 | Automating Large-Scale Data Quality Verification | 2018 | VLDB | 0.00011715754 |
| 3,303 | SCODED: Statistical Constraint Oriented Data Error Detection | 2020 | SIGMOD | 7.2438671e-05 |
| 5,244 | Towards Benchmarking Feature Type Inference for AutoML Platforms | 2021 | SIGMOD | 5.6021738e-05 |
| 6,188 | Semi-Supervised Data Cleaning with Raha and Baran | 2021 | CIDR | 5.1607275e-05 |
| 6,552 | How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses | 2024 | VLDB | 5.0109216e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 641 | Corleone: Hands-Off Crowdsourcing for Entity Matching | 2014 | SIGMOD | 0.00018759417 |
| 830 | Guided Data Repair | 2011 | VLDB | 0.00016125759 |
| 879 | Don’t be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes | 2013 | SIGMOD | 0.00015649604 |
| 2,177 | A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data | 2014 | SIGMOD | 9.371335e-05 |
| 8,590 | Wisteria: Nurturing Scalable Data Cleaning Infrastructure | 2015 | VLDB | 4.4851741e-05 |
| 8,703 | Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views | 2015 | VLDB | 4.4596255e-05 |
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