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Discovery of Approximate (and Exact) Denial Constraints

Summary: DCFINDER automatically discovers exact and approximate denial constraints, addressing noisy data and the large DC search space. It combines position-list indexes with predicate-selectivity pruning, outperforming prior approximate-DC discovery methods. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h448f0881432c369f
Venue
VLDB
Year
2020
Pagerank
9.2829634e-05
Overall Rank
1,972 | 86.75%
DOI
10.14778/3368289.3368293
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{pena_vldb20,
        title = {{Discovery of Approximate (and Exact) Denial Constraints}},
        author = {Pena, Eduardo H. M. and de Almeida, Eduardo C. and Naumann, Felix},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {3},
        pages = {266--278},
        doi = {10.14778/3368289.3368293},
        url = {https://doi.org/10.14778/3368289.3368293},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 31 of 31 citing papers.

Rank Citing Paper Year Venue Pagerank
2,445 Approximate Denial Constraints 2020 VLDB 8.4546614e-05
3,264 Automatic Data Repair: Are We Ready to Deploy? 2024 VLDB 7.4774357e-05
3,292 Kamino: Constraint-Aware Differentially Private Data Synthesis 2021 VLDB 7.445638e-05
4,070 Fast Algorithms for Denial Constraint Discovery 2023 VLDB 6.8183785e-05
5,283 Fast Approximate Denial Constraint Discovery 2023 VLDB 6.1963542e-05
5,866 Properties of Inconsistency Measures for Databases 2021 SIGMOD 5.96357e-05
6,860 Fast Incremental Discovery of Pointwise Order Dependencies 2020 VLDB 5.6615714e-05
6,898 Synthesizing Linked Data Under Cardinality and Integrity Constraints 2021 SIGMOD 5.6506085e-05
7,476 Fast Detection of Denial Constraint Violations 2022 VLDB 5.5150385e-05
7,510 Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems 2021 SIGMOD 5.504811e-05
7,876 Rock: Cleaning Data by Embedding ML in Logic Rules 2024 SIGMOD 5.4336606e-05
8,764 Exploratory Training: When Annotators Learn About Data 2023 SIGMOD 5.2815275e-05
8,862 Rapidash: Efficient Detection of Constraint Violations 2024 VLDB 5.2616231e-05
9,623 GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models 2024 SIGMOD 5.1486163e-05
9,813 Making It Tractable to Catch Duplicates and Conflicts in Graphs 2023 SIGMOD 5.1233734e-05
10,063 Discovering Approximate Inclusion Dependencies 2025 VLDB 5.0851868e-05
10,110 Efficient Differential Dependency Discovery 2024 VLDB 5.0765311e-05
10,189 Discovering Top-k Relevant and Diversified Rules 2024 SIGMOD 5.0628015e-05
10,346 Parallel Rule Discovery from Large Datasets by Sampling 2022 SIGMOD 5.0171283e-05
10,451 Discovery of Denial Constraints with Hardware Acceleration 2026 SIGMOD 4.9769913e-05
10,541 Outliers: The Good, the Bad and the Ugly 2026 SIGMOD 4.9769913e-05
10,781 Discovering Approximate Denial Constraints in Large Databases 2026 VLDB 4.9769913e-05
11,015 LIMA: Denial Constraint Discovery in Large Dynamic Databases 2026 VLDB 4.9769913e-05
11,197 Incremental Rule Discovery in Response to Parameter Updates 2025 SIGMOD 4.9769913e-05
11,262 Efficient Discovery of Relaxed Functional Dependencies 2025 VLDB 4.9769913e-05
11,324 Meaningful Data Erasure in the Presence of Dependencies 2025 VLDB 4.9769913e-05
11,327 How and Why False Denial Constraints are Discovered 2025 VLDB 4.9769913e-05
11,441 bNDCRepair: Cleaning both Data Errors and Inaccurate Constraints on Numerical Sequential Data 2025 VLDB 4.9769913e-05
11,564 Mixed Covers of Keys and Functional Dependencies for Maintaining the Integrity of Data under Updates 2024 VLDB 4.9769913e-05
11,754 Learning and Deducing Temporal Orders 2023 VLDB 4.9769913e-05
12,083 AUDITOR: A System Designed for Automatic Discovery of Complex Integrity Constraints in Relational Databases 2020 SIGMOD 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

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