DBScholar

Back to papers

Probabilistic Databases with MarkoViews

Summary: MVDB represents rich correlations in probabilistic databases via weighted MarkoViews, generalizing beyond tuple independence. Exact translation to UCQs over tuple-independent data enables existing techniques, while offline compilation accelerates online query evaluation. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10542
Venue
VLDB
Year
2012
Pagerank
6.5675814e-05
Overall Rank
4,680 | 67.90%
DOI
10.14778/2350229.2350233

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{jha_vldb12,
        title = {{Probabilistic Databases with MarkoViews}},
        author = {Jha, Abhay and Suciu, Dan},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {11},
        pages = {1160--1171},
        doi = {10.14778/2350229.2350233},
        url = {https://doi.org/10.14778/2350229.2350233},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers