Demonstration of BitGourmet: Data Analysis via Deterministic Approximation
Summary: BitGourmet demonstrates deterministic approximate query processing (DAQ) for bounds-guaranteed aggregates. Vertical bitwise partitioning with bit-vector subsets and a scenario-aware optimizer let users specify precision and trade latency for interactivity. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Saehan Jo
- 2. Immanuel Trummer
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 14 | Online Aggregation | 1997 | SIGMOD | 0.0010801504 |
| 429 | The Aqua Approximate Query Answering System | 1999 | SIGMOD | 0.00023476494 |
| 943 | Wander Join: Online Aggregation via Random Walks | 2016 | SIGMOD | 0.00015145883 |
| 1,323 | Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters | 2016 | SIGMOD | 0.00012601997 |
| 1,574 | Approximate Query Processing: No Silver Bullet | 2017 | SIGMOD | 0.00011287495 |
| 2,588 | Database Learning: Toward a Database that Becomes Smarter Every Time | 2017 | SIGMOD | 8.4909562e-05 |
| 2,616 | DAQ: A New Paradigm for Approximate Query Processing | 2015 | VLDB | 8.4471955e-05 |
| 2,995 | A Sampling Algebra for Aggregate Estimation | 2013 | VLDB | 7.7587199e-05 |
| 3,944 | AQP++: Connecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics | 2018 | SIGMOD | 6.6078243e-05 |
| 11,552 | BitGourmet: Deterministic Approximation via Optimized Bit Selection | 2020 | CIDR | 4.1945683e-05 |
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