Correlation Sketches for Approximate Join-Correlation Queries
Summary: Introduces join-correlation queries for data augmentation: find TX joinable with TQ on KQ where a TX column C correlates to Q. Proposes correlation sketches to index tables with estimates and scoring to rank results; experiments validate accuracy. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Aécio Santos (New York University)
- 2. Aline Bessa (New York University)
- 3. Fernando Chirigati (Springer Nature)
- 4. Christopher Musco (New York University)
- 5. Juliana Freire (New York University)
BibTeX Citation
@inproceedings{santos_sigmod21,
title = {{Correlation Sketches for Approximate Join-Correlation Queries}},
author = {Santos, Aécio and Bessa, Aline and Chirigati, Fernando and Musco, Christopher and Freire, Juliana},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3458456},
url = {https://dl.acm.org/doi/10.1145/3448016.3458456},
year = {2021}
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