Efficient Differential Dependency Discovery
Summary: Introduces 'diff-set', a compact encoding of value differences, and a set-cover-based miner for differential dependencies (DDs) that generalize FDs and capture similarity/dissimilarity. Diff-set construction plus non-minimal pruning yields orders-of-magnitude speedups vs prior DD/RFD discovery. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shulei Kuang (Fudan University)
- 2. Honghui Yang (Fudan University)
- 3. Zijing Tan (Fudan University)
- 4. Shuai Ma (Beihang University)
BibTeX Citation
@article{kuang_vldb24,
title = {{Efficient Differential Dependency Discovery}},
author = {Kuang, Shulei and Yang, Honghui and Tan, Zijing and Ma, Shuai},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {7},
pages = {1552--1564},
doi = {10.14778/3654621.3654624},
url = {https://doi.org/10.14778/3654621.3654624},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,322 | Minimum Change ≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints | 2026 | SIGMOD | 5.093636e-05 |
| 10,848 | Efficient Discovery of Relaxed Functional Dependencies | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 29 of 29 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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