SciBORQ: Scientific data management with Bounds On Runtime and Quality
Summary: SciBORQ is a framework for interactive scientific exploration enforcing strict runtime budgets and statistical error bounds for ad-hoc queries over massive observational/feature-rich databases. It introduces “impressions”—multi-layer, focal-biased, workload-adaptive samples that meet time limits with provable quality. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lefteris Sidirourgos (Centrum Wiskunde & Informatica)
- 2. Martin Kersten (Centrum Wiskunde & Informatica)
- 3. Peter Boncz (Centrum Wiskunde & Informatica)
BibTeX Citation
@inproceedings{sidirourgos_cidr11,
address = {Amsterdam, Netherlands},
series = {{CIDR} '11},
title = {{SciBORQ: Scientific data management with Bounds On Runtime and Quality}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Sidirourgos, Lefteris and Kersten, Martin and Boncz, Peter},
year = {2011}
}
Incoming Citations (Sorted by Pagerank)
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