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MCDB-R: Risk Analysis in the Database

Summary: MCDB-R extends Monte Carlo databases to risk analysis over probabilistic, uncertain data. It adapts Gibbs cloning to efficiently sample extreme upper or lower tails of query-result distributions, rather than estimating them via naive Monte Carlo. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10316
Venue
VLDB
Year
2010
Pagerank
6.1261535e-05
Overall Rank
5,672 | 61.09%
DOI
10.14778/1920841.1920941

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{arumugam_vldb10,
        title = {{MCDB-R: Risk Analysis in the Database}},
        author = {Arumugam, Subi and Xu, Fei and Jampani, Ravi and Jermaine, Christopher and Perez, Luis L. and Haas, Peter J.},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {1},
        pages = {782--793},
        doi = {10.14778/1920841.1920941},
        url = {https://doi.org/10.14778/1920841.1920941},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
155 MAD Skills: New Analysis Practices for Big Data 2009 VLDB 0.00028713176
238 MCDB: A Monte Carlo Approach to Managing Uncertain Data 2008 SIGMOD 0.0002369322
408 MauveDB: Supporting Model-based User Views in Database Systems 2006 SIGMOD 0.00019008806
868 Requirements for Science Data Bases and SciDB 2009 CIDR 0.00013504796
1,437 Querying Continuous Functions in a Database System 2008 SIGMOD 0.00010790718
1,520 Conditioning Probabilistic Databases 2008 VLDB 0.00010510496
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