Efficient Denial Constraint Discovery with Hydra
Summary: Hydra automatically discovers all valid denial constraints, unifying diverse integrity constraints and business rules. Its novel algorithm reduces tuple-scaling from quadratic to empirically linear, yielding orders-of-magnitude speedups over prior DC discovery methods. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tobias Bleifuß (Hasso Plattner Institute)
- 2. Sebastian Kruse (Hasso Plattner Institute)
- 3. Felix Naumann (Hasso Plattner Institute)
BibTeX Citation
@article{bleifu_vldb18,
title = {{Efficient Denial Constraint Discovery with Hydra}},
author = {Bleifuß, Tobias and Kruse, Sebastian and Naumann, Felix},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {3},
pages = {311--323},
doi = {10.14778/3157794.3157800},
url = {https://doi.org/10.14778/3157794.3157800},
year = {2018}
}
Incoming Citations (Sorted by Pagerank)
Showing 31 of 31 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 348 | Discovering Denial Constraints | 2013 | VLDB | 0.00020216677 |
| 602 | A Hybrid Approach to Functional Dependency Discovery | 2016 | SIGMOD | 0.00015670535 |
| 727 | Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms | 2015 | VLDB | 0.00014426954 |
| 769 | The LLUNATIC Data-Cleaning Framework | 2013 | VLDB | 0.00014091996 |
| 1,399 | Data Profiling with Metanome | 2015 | VLDB | 0.0001076306 |
| 2,305 | GORDIAN: Efficient and Scalable Discovery of Composite Keys | 2006 | VLDB | 8.6550507e-05 |
| 3,307 | Lightning Fast and Space Efficient Inequality Joins | 2015 | VLDB | 7.4203464e-05 |
| 4,245 | Scalable Discovery of Unique Column Combinations | 2014 | VLDB | 6.6958006e-05 |
| 4,476 | Effective and Complete Discovery of Order Dependencies via Set-based Axiomatization | 2017 | VLDB | 6.5696859e-05 |
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