Exploiting Correlations for Expensive Predicate Evaluation
Summary: Proposes cost-aware techniques for evaluating selection queries with UDF predicates by exploiting correlations and prior probabilities to meet user-specified precision/recall constraints. The methods handle known, noisy, or unknown probabilities, generalize to complex queries, and deliver up to 80% UDF savings with modest accuracy loss on real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Manas Joglekar (Stanford University)
- 2. Hector Garcia-Molina (Stanford University)
- 3. Aditya Parameswaran (University of Illinois Urbana-Champaign)
- 4. Christopher Re (Stanford University)
BibTeX Citation
@inproceedings{joglekar_sigmod15,
title = {{Exploiting Correlations for Expensive Predicate Evaluation}},
author = {Joglekar, Manas and Garcia-Molina, Hector and Parameswaran, Aditya and Re, Christopher},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2723715},
url = {https://dl.acm.org/doi/10.1145/2723372.2723715},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 295 | Accelerating Machine Learning Inference with Probabilistic Predicates | 2018 | SIGMOD | 0.00022238183 |
| 6,031 | Sia: Optimizing Queries using Learned Predicates | 2021 | SIGMOD | 6.0007422e-05 |
| 7,048 | Learning to Sample: Counting with Complex Queries | 2020 | VLDB | 5.7178054e-05 |
| 7,176 | Interactive Demonstration of Probabilistic Predicates | 2018 | SIGMOD | 5.6816132e-05 |
| 9,200 | JENNER: Just-in-time Enrichment in Query Processing | 2022 | VLDB | 5.3058708e-05 |
| 9,648 | AMNES: Accelerating the computation of data correlation using FPGAs | 2023 | VLDB | 5.2430158e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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