Fast Incremental Discovery of Pointwise Order Dependencies
Summary: Introduces incremental discovery of minimal pointwise order dependencies under tuple insertions. Novel indexes identify affected violations in logarithmic-in-data-size cost, enabling efficient invalidation and refinement of PODs and outperforming batch recomputation by orders of magnitude. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zijing Tan (Fudan University; Shanghai Key Laboratory of Data Science)
- 2. Ai Ran (Fudan University; Shanghai Key Laboratory of Data Science)
- 3. Shuai Ma (Beihang University; Beijing Academy of Artificial Intelligence)
- 4. Sheng Qin (Fudan University; Shanghai Key Laboratory of Data Science)
BibTeX Citation
@article{tan_vldb20,
title = {{Fast Incremental Discovery of Pointwise Order Dependencies}},
author = {Tan, Zijing and Ran, Ai and Ma, Shuai and Qin, Sheng},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {10},
pages = {1669--1681},
doi = {10.14778/3401960.3401965},
url = {https://doi.org/10.14778/3401960.3401965},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,280 | Fast Approximate Denial Constraint Discovery | 2023 | VLDB | 6.1992888e-05 |
| 8,851 | Workload-driven, Lazy Discovery of Data Dependencies for Query Optimization | 2022 | CIDR | 5.2644901e-05 |
| 10,106 | Efficient Differential Dependency Discovery | 2024 | VLDB | 5.0789354e-05 |
| 11,188 | Incremental Rule Discovery in Response to Parameter Updates | 2025 | SIGMOD | 4.9793485e-05 |
| 11,550 | Capturing More Associations by Referencing External Graphs | 2024 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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