A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries
Summary: Optimization-based framework for approximate aggregate queries, minimizing error across workloads. Robust sampling tailored to workload variants with principled variance handling; DBMS-implementable; experiments on SQL Server 2000 show improved accuracy over prior work. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Surajit Chaudhuri
- 2. Gautam Das
- 3. Vivek Narasayya
Incoming Citations (Sorted by Pagerank)
Showing 21 of 21 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
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 |
| 18 | On Random Sampling over Joins | 1999 | SIGMOD | 0.00092385438 |
| 211 | Join Synopses for Approximate Query Answering | 1999 | SIGMOD | 0.00033981214 |
| 273 | Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets | 1999 | SIGMOD | 0.00029390945 |
| 361 | Histogram-Based Approximation of Set-Valued Query Answers | 1999 | VLDB | 0.00025775749 |
| 405 | Approximate Query Processing Using Wavelets | 2000 | VLDB | 0.00024057494 |
| 739 | Congressional Samples for Approximate Answering of Group-By Queries | 2000 | SIGMOD | 0.00017401518 |
| 1,335 | ICICLES: Self-tuning Samples for Approximate Query Answering | 2000 | VLDB | 0.00012502131 |
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