Data Acquisition for Improving Machine Learning Models
Summary: Formalizes a data-market framework for acquiring training data to boost ML accuracy, with buyer–provider dynamics. Proposes EA and SPS, strategies balancing exploration and exploitation to improve model accuracy; validated on real datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yifan Li (York University)
- 2. Xiaohui Yu (York University)
- 3. Nick Koudas (University of Toronto)
BibTeX Citation
@article{li_vldb21,
title = {{Data Acquisition for Improving Machine Learning Models}},
author = {Li, Yifan and Yu, Xiaohui and Koudas, Nick},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {10},
pages = {1832--1844},
doi = {10.14778/3467861.3467872},
url = {https://doi.org/10.14778/3467861.3467872},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 15 of 15 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 779 | To Join or Not to Join? Thinking Twice about Joins before Feature Selection | 2016 | SIGMOD | 0.00014048128 |
| 1,038 | ARDA: Automatic Relational Data Augmentation for Machine Learning | 2020 | VLDB | 0.000123653 |
| 1,363 | Towards Model-based Pricing for Machine Learning in a Data Marketplace | 2019 | SIGMOD | 0.00010912672 |
| 1,593 | Data Markets in the Cloud: An Opportunity for the Database Community | 2011 | VLDB | 0.00010130223 |
| 1,847 | Data Market Platforms: Trading Data Assets to Solve Data Problems | 2020 | VLDB | 9.5091361e-05 |
| 1,859 | On Arbitrage-free Pricing for General Data Queries | 2014 | VLDB | 9.4873717e-05 |
| 2,278 | Active Learning for ML Enhanced Database Systems | 2020 | SIGMOD | 8.7057608e-05 |
| 3,208 | Efficiently Approximating Selectivity Functions using Low Overhead Regression Models | 2020 | VLDB | 7.5355264e-05 |
| 3,673 | Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? | 2018 | VLDB | 7.1075403e-05 |
| 3,987 | Revenue Maximization for Query Pricing | 2020 | VLDB | 6.8697118e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,418 | Towards Distribution-aware Query Answering in Data Markets | 2022 | VLDB |
| 2 | 11,558 | Performance-Based Pricing for Federated Learning via Auction | 2024 | VLDB |
| 3 | 9,453 | Intelligent Agents for Data Exploration | 2024 | VLDB |
| 4 | 5,905 | On Efficient Approximate Queries over Machine Learning Models | 2023 | VLDB |
| 5 | 9,327 | Stochastic Data Acquisition for Answering Queries as Time Goes by | 2017 | VLDB |
| 6 | 1,363 | Towards Model-based Pricing for Machine Learning in a Data Marketplace | 2019 | SIGMOD |
| 7 | 6,159 | Automatic Data Acquisition for Deep Learning | 2021 | VLDB |
| 8 | 4,869 | Selective Data Acquisition in the Wild for Model Charging | 2022 | VLDB |
| 9 | 5,748 | Optimizing Data Acquisition to Enhance Machine Learning Performance | 2024 | VLDB |
| 10 | 9,019 | Data Acquisition for Improving Model Confidence | 2024 | SIGMOD |