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Interactive Demonstration of Probabilistic Predicates

Summary: Prototype engine uses probabilistic predicates (PPs) to push UDF-based ML inference earlier, pruning inputs before heavy work. PPs on raw inputs cover image, doc, video tasks; optimizations extend pushdown to complex predicates with tunable accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5565
Venue
SIGMOD
Year
2018
Pagerank
5.6816132e-05
Overall Rank
7,176 | 50.77%
DOI
10.1145/3183713.3183751

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{lu_sigmod18,
        title = {{Interactive Demonstration of Probabilistic Predicates}},
        author = {Lu, Yao and Kandula, Srikanth and Chaudhuri, Surajit},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3183751},
        url = {https://dl.acm.org/doi/10.1145/3183713.3183751},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
3,875 Visual Road: A Video Data Management Benchmark 2019 SIGMOD 7.0557272e-05
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