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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)

Paper ID
h2b740ab96fc43a3a
Venue
VLDB
Year
2020
Pagerank
5.6642528e-05
Overall Rank
6,855 | 53.92%
DOI
10.14778/3401960.3401965

Incoming Non-self Citations Over Time

Authors

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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