Towards Distribution-aware Query Answering in Data Markets
Summary: Unified distribution-aware query answering for data markets enabling cost-effective integration of heterogeneous sources under user schemas. Join-path view discovery, get-next cost estimates, and adaptive view selection (bandit or coupon collector) for sequential sampling. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,928 | Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search | 2024 | VLDB | 4.2511622e-05 |
| 10,341 | A Theoretical Framework for Distribution-Aware Dataset Search | 2025 | PODS | 4.1945683e-05 |
| 10,439 | Finding What You’re Looking For: A Distribution-Aware Dataset Search Engine in Action | 2025 | SIGMOD | 4.1945683e-05 |
| 10,955 | Data Acquisition for Improving Model Confidence | 2024 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 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 |
|---|---|---|---|---|
| 7,715 | Query Centric Partitioning and Allocation for Partially Replicated Database Systems | 2017 | SIGMOD | 4.6699261e-05 |
| 11,650 | Query-Driven Learning for Next Generation Predictive Modeling & Analytics | 2019 | SIGMOD | 4.1945683e-05 |
| 3,750 | Data Acquisition for Improving Machine Learning Models | 2021 | VLDB | 6.7895763e-05 |
| 5,547 | Network-Aware Query Processing for Stream-based Applications | 2004 | VLDB | 5.4457955e-05 |
| 2,933 | Answering Top-k Queries Using Views | 2006 | VLDB | 7.8679669e-05 |
| 4,279 | Revenue Maximization for Query Pricing | 2020 | VLDB | 6.2953388e-05 |
| 2,743 | Toward Practical Query Pricing with QueryMarket | 2013 | SIGMOD | 8.1897331e-05 |
| 9,444 | Online Optimization and Fair Costing for Dynamic Data Sharing in a Cloud Data Market | 2014 | SIGMOD | 4.3408772e-05 |
| 2,370 | Query-Based Data Pricing | 2012 | PODS | 8.9488834e-05 |
| 5,800 | QueryMarket Demonstration: Pricing for Online Data Markets | 2012 | VLDB | 5.3211601e-05 |