Efficient Discovery of Relaxed Functional Dependencies
Summary: First complete discovery algorithm for minimal relaxed FDs, combining similarity-threshold equality with bounded violations. Extends difference-sets to threshold predicates and exploits RHS subsumption, achieving orders-of-magnitude speedups and uncovering FDs in dirty data. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Mengran Li (Fudan University)
- 2. Zijing Tan (Fudan University)
- 3. Honghui Yang (Fudan University)
- 4. Shuai Ma (Beihang University)
BibTeX Citation
@article{li_vldb25,
title = {{Efficient Discovery of Relaxed Functional Dependencies}},
author = {Li, Mengran and Tan, Zijing and Yang, Honghui and Ma, Shuai},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {7},
pages = {2044--2056},
doi = {10.14778/3734839.3734843},
url = {https://doi.org/10.14778/3734839.3734843},
year = {2025}
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