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Discovering Functional Dependencies through Hitting Set Enumeration

Summary: FDhits finds all valid, minimal FDs via hitting-set enumeration, with hybrid validation and one-pass candidate checks, plus parallelization. It yields a median 8.1× speedup over prior work with lower memory, enabling FD profiling on larger datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6852
Venue
SIGMOD
Year
2024
Pagerank
4.3109001e-05
Overall Rank
9,646 | 32.90%
DOI
10.1145/3639298

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,587 Efficient Discovery of Relaxed Functional Dependencies 2025 VLDB 4.1945683e-05
10,676 Meaningful Data Erasure in the Presence of Dependencies 2025 VLDB 4.1945683e-05
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Showing 12 of 12 cited papers.

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

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