FDepHunter: Harnessing Negative Examples to Expose Fakes and Reveal Ghosts
Summary: FDepHunter interactively refines FD discovery by augmenting Armstrong relations with synthetic negative examples that expose coincidental (“fake”) FDs and expert validation that recovers outlier-masked (“ghost”) FDs. A human-in-the-loop workflow iteratively improves dependency profiles. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Pavel Koupil (Charles University)
- 2. Jáchym Bártík (Charles University)
- 3. Stefan Klessinger (University of Passau)
- 4. André Conrad (University of Hagen)
- 5. Stefanie Scherzinger (University of Passau)
BibTeX Citation
@article{koupil_vldb25,
title = {{FDepHunter: Harnessing Negative Examples to Expose Fakes and Reveal Ghosts}},
author = {Koupil, Pavel and Bártík, Jáchym and Klessinger, Stefan and Conrad, André and Scherzinger, Stefanie},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5227--5230},
doi = {10.14778/3750601.3750612},
url = {https://doi.org/10.14778/3750601.3750612},
year = {2025}
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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 |
|---|---|---|---|---|
| 376 | Discovering Denial Constraints | 2013 | VLDB | 0.00019677674 |
| 618 | A Hybrid Approach to Functional Dependency Discovery | 2016 | SIGMOD | 0.00015711835 |
| 647 | Discovering Data Quality Rules | 2008 | VLDB | 0.00015334666 |
| 729 | Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms | 2015 | VLDB | 0.00014539421 |
| 1,913 | Information-Theoretic Tools for Mining Database Structure from Large Data Sets | 2004 | SIGMOD | 9.4928569e-05 |
| 2,123 | Discovery of Genuine Functional Dependencies from Relational Data with Missing Values | 2018 | VLDB | 9.1372798e-05 |
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