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Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms

Summary: Error-generation for benchmarking data-cleaning; enables precise control and large-scale testing. NP-complete; a scalable greedy algorithm sacrifices completeness, aided by a symmetry property of data-quality constraints, exposing the control–scalability trade-off. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h4ceb11fb2f97cffb
Venue
VLDB
Year
2016
Pagerank
9.1199511e-05
Overall Rank
2,051 | 86.22%
DOI
10.14778/2850578.2850580

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{arocena_vldb16,
        title = {{Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms}},
        author = {Arocena, Patricia C. and Glavic, Boris and Mecca, Giansalvatore and Miller, Renée J. and Papotti, Paolo and Santoro, Donatello},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {2},
        pages = {36--47},
        doi = {10.14778/2850578.2850580},
        url = {https://doi.org/10.14778/2850578.2850580},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 24 of 24 citing papers.

Rank Citing Paper Year Venue Pagerank
883 HoloDetect: Few-Shot Learning for Error Detection 2019 SIGMOD 0.00013268059
1,342 Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning 2020 VLDB 0.00010968223
1,344 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00010956518
1,391 Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks 2020 SIGMOD 0.00010816237
1,805 Raha: A Configuration-Free Error Detection System 2019 SIGMOD 9.59842e-05
3,263 Automatic Data Repair: Are We Ready to Deploy? 2024 VLDB 7.4809771e-05
3,360 Cleaning Denial Constraint Violations through Relaxation 2020 SIGMOD 7.3767115e-05
3,422 UGuide – User-Guided Discovery of FD-Detectable Errors 2017 SIGMOD 7.3138834e-05
4,347 Horizon: Scalable Dependency-driven Data Cleaning 2021 VLDB 6.6469984e-05
5,388 Explaining Repaired Data with CFDs 2018 VLDB 6.151535e-05
6,600 Explain3D: Explaining Disagreements in Disjoint Datasets 2019 VLDB 5.7403306e-05
6,808 Benchmarking Approximate Consistent Query Answering 2021 PODS 5.6763412e-05
8,539 Why Not Match: On Explanations of Event Pattern Queries 2021 SIGMOD 5.3200136e-05
8,756 Exploratory Training: When Annotators Learn About Data 2023 SIGMOD 5.2840289e-05
9,107 DAFDiscover: Robust Mining Algorithm for Dynamic Approximate Functional Dependencies on Dirty Data 2024 VLDB 5.2283159e-05
9,616 GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models 2024 SIGMOD 5.1510548e-05
9,619 Interactive and Deterministic Data Cleaning: A Tossed Stone Raises a Thousand Ripples 2016 SIGMOD 5.1502244e-05
10,526 Guardrail: Automated Integrity Constraint Synthesis From Noisy Data 2026 SIGMOD 4.9793485e-05
10,529 Minimum Change ≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints 2026 SIGMOD 4.9793485e-05
10,855 PipeLens: Identifying Interventions for Resolving Malfunctioning Data Science Pipelines 2026 VLDB 4.9793485e-05
11,353 UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow 2025 VLDB 4.9793485e-05
11,699 LinCQA: Faster Consistent Query Answering with Linear Time Guarantees 2023 SIGMOD 4.9793485e-05
11,894 Frost: A Platform for Benchmarking and Exploring Data Matching Results 2022 VLDB 4.9793485e-05
12,337 BART in Action: Error Generation and Empirical Evaluations of Data-Cleaning Systems 2016 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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