Data Driven Approximation with Bounded Resources
Summary: BEAS is a resource-bounded query system; with alpha in (0,1], it returns exact Q(D) if feasible or bounded approximations using at most alpha|D| data. Contributes access schema, accuracy metric, and bounded-resource algorithms with deterministic guarantees. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yang Cao
- 2. Wenfei Fan
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,574 | Approximate Query Processing: No Silver Bullet | 2017 | SIGMOD | 0.00011287495 |
| 3,944 | AQP++: Connecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics | 2018 | SIGMOD | 6.6078243e-05 |
| 9,621 | ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation | 2023 | VLDB | 4.3167167e-05 |
| 11,672 | Block as a Value for SQL over NoSQL | 2019 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,739 | Benchmarking Approximate Consistent Query Answering | 2021 | PODS | 4.9449088e-05 |
| 7,941 | Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds | 2021 | SIGMOD | 4.613363e-05 |
| 2,616 | DAQ: A New Paradigm for Approximate Query Processing | 2015 | VLDB | 8.4471955e-05 |
| 8,961 | An Effective Syntax for Bounded Relational Queries | 2016 | SIGMOD | 4.4206115e-05 |
| 4,712 | Accelerating Approximate Aggregation Queries with Expensive Predicates | 2021 | VLDB | 5.9787986e-05 |
| 8,851 | Efficient Approximations of Conjunctive Queries | 2012 | PODS | 4.4363908e-05 |
| 4,211 | Querying Big Graphs within Bounded Resources | 2014 | SIGMOD | 6.3563454e-05 |
| 7,085 | Querying Big Data by Accessing Small Data | 2015 | PODS | 4.8388174e-05 |
| 9,351 | On Efficient Approximate Queries over Machine Learning Models | 2023 | VLDB | 4.3524472e-05 |
| 11,785 | BEAS: Bounded Evaluation of SQL Queries | 2017 | SIGMOD | 4.1945683e-05 |