Publication entry:

FDepHunter: Harnessing Negative Examples to Expose Fakes and Reveal Ghosts

Full citation

Koupil, P., Bártík, J., Klessinger, S., Conrad, A., & Scherzinger, S. (2025). FDepHunter: Harnessing negative examples to expose fakes and reveal ghosts. Proceedings of the VLDB Endowment, 18(12), 5227–5230.

BibTeX citation file download

koupil2025fdephunter.bib

Internal authors

Pavel Koupil

Assistant professor

Jáchym Bártík

PhD student

Related software

FDepHunter

FDepHunter is a novel and interactive method for dependency discovery that augments an Armstrong relation with additional tuples. It relies on artificially generated negative examples that emulate real-world tuples to help expose fake FDs, together with domain experts to confirm that positive examples indeed reflect the characteristics of the original dataset.