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Discovering Denial Constraints

Summary: Proposes Denial Constraints (DCs) as a more expressive integrity-constraint language than FDs/CFDs, with sound inference rules and a linear-time implication test. Devotes an instance-driven DC discovery algorithm and a novel scoring function to rank candidates for user validation; empirical evaluation on real and synthetic data demonstrates scalable, effective constraint discovery. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10827
Venue
VLDB
Year
2013
Pagerank
0.00019677674
Overall Rank
376 | 97.43%
DOI
10.14778/2536258.2536262

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chu_vldb13,
        title = {{Discovering Denial Constraints}},
        author = {Chu, Xu and Ilyas, Ihab F. and Papotti, Paolo},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {13},
        pages = {1498--1509},
        doi = {10.14778/2536258.2536262},
        url = {https://doi.org/10.14778/2536258.2536262},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 23 of 73 citing papers.

Rank Citing Paper Year Venue Pagerank
9,627 Making It Tractable to Catch Duplicates and Conflicts in Graphs 2023 SIGMOD 5.2434488e-05
9,838 Don’t Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data 2022 VLDB 5.2103651e-05
9,999 Discovering Top-k Relevant and Diversified Rules 2024 SIGMOD 5.1814573e-05
10,001 Reptile: Aggregation-level Explanations for Hierarchical Data 2022 SIGMOD 5.1814573e-05
10,065 On Saving Outliers for Better Clustering over Noisy Data 2021 SIGMOD 5.1648805e-05
10,111 Parallel Rule Discovery from Large Datasets by Sampling 2022 SIGMOD 5.1347137e-05
10,223 Discovery of Denial Constraints with Hardware Acceleration 2026 SIGMOD 5.093636e-05
10,282 Prism: Private Relational Data Synthesis with Language Models 2026 SIGMOD 5.093636e-05
10,317 Guardrail: Automated Integrity Constraint Synthesis From Noisy Data 2026 SIGMOD 5.093636e-05
10,322 Minimum Change ≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints 2026 SIGMOD 5.093636e-05
10,324 Outliers: The Good, the Bad and the Ugly 2026 SIGMOD 5.093636e-05
10,786 Computing Inconsistency Measures Under Differential Privacy 2025 SIGMOD 5.093636e-05
10,848 Efficient Discovery of Relaxed Functional Dependencies 2025 VLDB 5.093636e-05
10,928 How and Why False Denial Constraints are Discovered 2025 VLDB 5.093636e-05
10,966 UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow 2025 VLDB 5.093636e-05
11,020 FDepHunter: Harnessing Negative Examples to Expose Fakes and Reveal Ghosts 2025 VLDB 5.093636e-05
11,079 bNDCRepair: Cleaning both Data Errors and Inaccurate Constraints on Numerical Sequential Data 2025 VLDB 5.093636e-05
11,276 Efficient Validation of SHACL Shapes with Reasoning 2024 VLDB 5.093636e-05
11,434 Learning and Deducing Temporal Orders 2023 VLDB 5.093636e-05
11,707 ADESIT: Visualize the Limits of your Data in a Machine Learning Process 2021 VLDB 5.093636e-05
11,780 T-REx: Table Repair Explanations 2020 SIGMOD 5.093636e-05
11,875 WiClean: A System for Fixing Wikipedia Interlinks Using Revision History Patterns 2019 VLDB 5.093636e-05
12,081 Cleaning Timestamps with Temporal Constraints 2016 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

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