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MCDB: A Monte Carlo Approach to Managing Uncertain Data

Summary: MCDB: Monte Carlo framework for uncertain data. VG functions parameterized by SQL results store only parameters, not probabilities, and estimate distributions; supports joint distributions, queries, and functionals, via bundle-based processing. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4087
Venue
SIGMOD
Year
2008
Pagerank
0.0002369322
Overall Rank
238 | 98.37%
DOI
10.1145/1376616.1376686

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{jampani_sigmod08,
        title = {{MCDB: A Monte Carlo Approach to Managing Uncertain Data}},
        author = {Jampani, Ravi and Perez, Luis Leopoldo and Xu, Fei and Jermaine, Christopher and Wu, Mingxi and Haas, Peter J.},
        series = {{SIGMOD} '08},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1376616.1376686},
        url = {https://dl.acm.org/doi/10.1145/1376616.1376686},
        year = {2008}
}

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