Revisiting Reuse for Approximate Query Processing
Summary: Recasts AQP results as random variables to enable principled reuse across interactive, ad hoc queries, including rare-tail predicates. Probability-based rewrites and indexes deliver low-error, human-speed answers where conventional AQP fails. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Alex Galakatos (Brown University)
- 2. Andrew Crotty (Brown University)
- 3. Emanuel Zgraggen (Brown University)
- 4. Carsten Binnig (Brown University)
- 5. Tim Kraska (Brown University; Google)
BibTeX Citation
@article{galakatos_vldb17,
title = {{Revisiting Reuse for Approximate Query Processing}},
author = {Galakatos, Alex and Crotty, Andrew and Zgraggen, Emanuel and Binnig, Carsten and Kraska, Tim},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {10},
pages = {1142--1155},
doi = {10.14778/3115404.3115410},
url = {https://doi.org/10.14778/3115404.3115410},
year = {2017}
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