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Aggregation in Probabilistic Databases via Knowledge Compilation

Summary: Knowledge compilation enables aggregation over data: semiring/semimodule expressions compile into decomposition trees, yielding linear distribution. Tractable aggregates via decomposition trees; SPROUT prototype shows performance on TPC-H and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10683
Venue
VLDB
Year
2012
Pagerank
6.9035475e-05
Overall Rank
4,098 | 71.89%
DOI
10.14778/2140436.2140445

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{fink_vldb12,
        title = {{Aggregation in Probabilistic Databases via Knowledge Compilation}},
        author = {Fink, Robert and Han, Larisa and Olteanu, Dan},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {5},
        pages = {490--501},
        doi = {10.14778/2140436.2140445},
        url = {https://doi.org/10.14778/2140436.2140445},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Rank Cited Paper Year Venue Pagerank
17 Provenance Semirings 2007 PODS 0.00059843817
238 MCDB: A Monte Carlo Approach to Managing Uncertain Data 2008 SIGMOD 0.0002369322
806 Provenance for Aggregate Queries 2011 PODS 0.00013890398
960 Incremental Query Evaluation in a Ring of Databases 2010 PODS 0.00012945163
1,520 Conditioning Probabilistic Databases 2008 VLDB 0.00010510496
1,594 Sensitivity Analysis and Explanations for Robust Query Evaluation in Probabilistic Databases 2011 SIGMOD 0.00010252583
2,172 OLAP Over Uncertain and Imprecise Data 2005 VLDB 9.0394311e-05
5,866 Querying Uncertain Data with Aggregate Constraints 2011 SIGMOD 6.0615445e-05
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