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On the Feasibility and Benefits of Extensive Evaluation

Summary: Examines the feasibility and benefits of extensive evaluation in data management via incremental sampling and ANOVA-based prediction to approximate full parameter sweeps. Finds mixed predictability: some systems need few samples, others not; random sampling + ANOVA often matches full results, with guidance to improve artifact predictability and sampling strategies. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6967
Venue
SIGMOD
Year
2024
Pagerank
4.1945683e-05
Overall Rank
10,982 | 23.61%
DOI
10.1145/3677137

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