Conditioning Probabilistic Databases
Summary: Introduces exact conditioning of probabilistic databases: materializing posterior distributions by filtering worlds on evidence, closely tied to exact tuple confidence. DP-style decomposition and CSP heuristics make NP-hard tasks scalable, often rivaling approximation methods. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Christoph Koch (Cornell University)
- 2. Dan Olteanu (University of Oxford)
BibTeX Citation
@article{koch_vldb08,
title = {{Conditioning Probabilistic Databases}},
author = {Koch, Christoph and Olteanu, Dan},
journal = {PVLDB},
series = {{VLDB} '08},
volume = {1},
number = {1},
pages = {313--325},
doi = {10.14778/1453856.1453892},
url = {https://doi.org/10.14778/1453856.1453892},
year = {2008}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 78 | ULDBs: Databases with Uncertainty and Lineage | 2006 | VLDB | 0.00036571789 |
| 574 | Management of Probabilistic Data: Foundations and Challenges | 2007 | PODS | 0.00016278855 |
| 644 | The Complexity of Query Reliability | 1998 | PODS | 0.00015367965 |
| 4,136 | Approximating Predicates and Expressive Queries on Probabilistic Databases | 2008 | PODS | 6.8810237e-05 |
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