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 | 0.00011289028 |
| 3,944 | AQP++: Connecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics | 2018 | SIGMOD | 6.6056349e-05 |
| 9,621 | ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation | 2023 | VLDB | 4.3125802e-05 |
| 11,677 | Block as a Value for SQL over NoSQL | 2019 | VLDB | 4.1905499e-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 |
|---|---|---|---|---|
| 6,740 | Benchmarking Approximate Consistent Query Answering | 2021 | PODS | 4.9401646e-05 |
| 7,944 | Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds | 2021 | SIGMOD | 4.6089395e-05 |
| 2,603 | DAQ: A New Paradigm for Approximate Query Processing | 2015 | VLDB | 8.4634633e-05 |
| 8,963 | An Effective Syntax for Bounded Relational Queries | 2016 | SIGMOD | 4.4165156e-05 |
| 4,703 | Accelerating Approximate Aggregation Queries with Expensive Predicates | 2021 | VLDB | 5.9793615e-05 |
| 8,850 | Efficient Approximations of Conjunctive Queries | 2012 | PODS | 4.4324268e-05 |
| 4,207 | Querying Big Graphs within Bounded Resources | 2014 | SIGMOD | 6.3519481e-05 |
| 7,061 | Querying Big Data by Accessing Small Data | 2015 | PODS | 4.8400281e-05 |
| 9,311 | On Efficient Approximate Queries over Machine Learning Models | 2023 | VLDB | 4.3535588e-05 |
| 11,793 | BEAS: Bounded Evaluation of SQL Queries | 2017 | SIGMOD | 4.1905499e-05 |