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PIClean: A Probabilistic and Interactive Data Cleaning System

Summary: PIClean is a probabilistic, interactive data cleaning system that uses low-rank approximation to uncover cross-column relationships for joint error detection and repair. User feedback confirms or rejects probabilistic fixes, continually updating models to improve accuracy and coverage. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5723
Venue
SIGMOD
Year
2019
Pagerank
4.7048523e-05
Overall Rank
7,565 | 47.43%
DOI
10.1145/3299869.3320214

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
6,188 Semi-Supervised Data Cleaning with Raha and Baran 2021 CIDR 5.1607275e-05
7,221 Akane: Perplexity-Guided Time Series Data Cleaning 2024 SIGMOD 4.7919849e-05
10,211 SHoTClean: Bridging Soft and Hard Constraints for Multivariate Time Series Cleaning 2026 SIGMOD 4.1905499e-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
112 Potter's Wheel: An Interactive Data Cleaning System 2001 VLDB 0.00047010908
192 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00035692958
556 Discovering Denial Constraints 2013 VLDB 0.00020214701
733 Discovering Data Quality Rules 2008 VLDB 0.00017428132
1,403 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00012180046
1,629 Data Cleaning: Overview and Emerging Challenges 2016 SIGMOD 0.00011073148
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