Pattern Functional Dependencies for Data Cleaning
Summary: Introduces pattern functional dependencies (PFDs), combining regex-based format constraints with FD/CFD semantics. Unlike prior integrity constraints over whole values, PFDs exploit partial, pattern-defined attribute content for finer-grained data cleaning. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Abdulhakim Qahtan (Utrecht University)
- 2. Nan Tang (Qatar Computing Research Institute)
- 3. Mourad Ouzzani (Qatar Computing Research Institute)
- 4. Yang Cao (University of Edinburgh)
- 5. Michael Stonebraker (Massachusetts Institute of Technology)
BibTeX Citation
@article{qahtan_vldb20,
title = {{Pattern Functional Dependencies for Data Cleaning}},
author = {Qahtan, Abdulhakim and Tang, Nan and Ouzzani, Mourad and Cao, Yang and Stonebraker, Michael},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {5},
pages = {684--697},
doi = {10.14778/3377369.3377377},
url = {https://doi.org/10.14778/3377369.3377377},
year = {2020}
}
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