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Supporting User-Defined Functions on Uncertain Data

Summary: General framework for supporting UDFs on uncertain data, using Gaussian processes to approximate output distributions with guaranteed error bounds. Online algorithm with optimizations; outperforms sampling by up to 100× on real-world and synthetic UDFs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10899
Venue
VLDB
Year
2013
Pagerank
5.3928856e-05
Overall Rank
8,646 | 40.69%
DOI
10.14778/2536336.2536341

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{tran_vldb13,
        title = {{Supporting User-Defined Functions on Uncertain Data}},
        author = {Tran, Thanh T. L. and Diao, Yanlei and Sutton, Charles and Liu, Anna},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {6},
        pages = {469--480},
        doi = {10.14778/2536336.2536341},
        url = {https://doi.org/10.14778/2536336.2536341},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
1,872 The Analytical Bootstrap: a New Method for Fast Error Estimation in Approximate Query Processing 2014 SIGMOD 9.5759874e-05
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Outgoing Citations (Sorted by Pagerank)

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

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