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Anytime Approximation in Probabilistic Databases via Scaled Dissociations

Summary: Introduces an anytime branch-and-bound approximation scheme for probabilistic databases, unifying PDB and SRL model-based methods. Scaled dissociation tightens bounds for self-join-free CQ queries on tuple-independent PDBs, cutting approximation error. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5774
Venue
SIGMOD
Year
2019
Pagerank
5.4170414e-05
Overall Rank
8,476 | 41.85%
DOI
10.1145/3299869.3319900

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{heuvel_sigmod19,
        title = {{Anytime Approximation in Probabilistic Databases via Scaled Dissociations}},
        author = {Van den Heuvel, Maarten and Ivanov, Peter and Gatterbauer, Wolfgang and Geerts, Floris and Theobald, Martin},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3319900},
        url = {https://dl.acm.org/doi/10.1145/3299869.3319900},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
5,601 Optimal Join Algorithms Meet Top-k 2020 SIGMOD 6.1540123e-05
8,599 Minimally Factorizing the Provenance of Self-join Free Conjunctive Queries 2024 PODS 5.4049137e-05
8,724 FastPDB: Towards Bag-Probabilistic Queries at Interactive Speeds 2025 SIGMOD 5.3766157e-05
11,385 Probabilistic Reasoning at Scale: Trigger Graphs to the Rescue 2023 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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