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Adaptive Execution of Variable-Accuracy Functions

Summary: VAOs expose compute-accuracy tradeoffs for modeling UDFs, letting queries stop at the needed precision. Prototype on financial queries over real bond data shows adaptive, cost-aware evaluation in common operators. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9470
Venue
VLDB
Year
2006
Pagerank
4.6411275e-05
Overall Rank
7,811 | 45.72%
DOI
-

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Rank Citing Paper Year Venue Pagerank
8,436 Supporting User-Defined Functions on Uncertain Data 2013 VLDB 4.506732e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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