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)
Incoming Non-self Citations Over Time
Authors
- 1. Robert Fink (University of Oxford)
- 2. Larisa Han (University of Oxford)
- 3. Dan Olteanu (University of Oxford)
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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