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Evaluation of Probabilistic Threshold Queries in MCDB

Summary: MCDB prototype database for stochastic models of uncertain data. Investigates probabilistic threshold queries—retrieve objects satisfying a filter with probability > p (e.g., late packages, regions with >50% declines, stock by Friday >20%)—addressing system design and statistical interpretation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4347
Venue
SIGMOD
Year
2010
Pagerank
5.7405e-05
Overall Rank
6,913 | 52.58%
DOI
10.1145/1807167.1807242

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{perez_sigmod10,
        title = {{Evaluation of Probabilistic Threshold Queries in MCDB}},
        author = {Perez, Luis L. and Arumugam, Subi and Jermaine, Christopher M.},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807242},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807242},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,761 Efficiently Answering Durability Prediction Queries 2021 SIGMOD 5.7822533e-05
12,166 Model-Data Ecosystems: Challenges, Tools, and Trends 2014 PODS 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

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