Approximate Query Processing for Interactive Data Science
Summary: IDEA: Interactive Data Exploration Accelerator for instant, visual, interactive data science. New AQP model treats aggregates as random variables, enabling reuse, stratified sampling, and on-the-fly tail indexes for rare subpopulations, with no precomputation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tim Kraska
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,393 | LAQy: Efficient and Reusable Query Approximations via Lazy Sampling | 2023 | SIGMOD | 4.5280102e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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|---|
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