Data Acquisition for Improving Model Confidence

Summary: Targets data acquisition for *model confidence* rather than accuracy: select limited samples from a large pool to maximize confidence gains. Proposes bulk/sequential acquisition, kNN-based approximations, and a distribution-based variant for broad applicability; validated across datasets/models. (summarized by gpt-5.4-mini on May 24 2026)

Paper ID: 6958
Venue: SIGMOD
Year: 2024
Pagerank: 5.3589295e-05
Overall Rank: 8,842 | 39.34%
DOI: 10.1145/3654934

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

@inproceedings{li_sigmod24,
        title = {{Data Acquisition for Improving Model Confidence}},
        author = {Li, Yifan and Yu, Xiaohui and Koudas, Nick},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3654934},
        url = {https://dl.acm.org/doi/10.1145/3654934},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,198	ASSS: Adaptive Stratified Sampling for Shapley-like Values	2026	SIGMOD	5.093636e-05
10,214	CoShap: A Scalable Coalition Growth Approach to Shapley Value Approximation	2026	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
1,121	ARDA: Automatic Relational Data Augmentation for Machine Learning	2020	VLDB	0.00012093059
1,488	Towards Model-based Pricing for Machine Learning in a Data Marketplace	2019	SIGMOD	0.00010612416
2,025	Data Market Platforms: Trading Data Assets to Solve Data Problems	2020	VLDB	9.2903125e-05
2,313	Active Learning for ML Enhanced Database Systems	2020	SIGMOD	8.762627e-05
2,994	Data Acquisition for Improving Machine Learning Models	2021	VLDB	7.8762343e-05
3,681	Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers?	2018	VLDB	7.2037388e-05
3,705	Protecting Data Markets from Strategic Buyers	2022	SIGMOD	7.1826873e-05
4,785	Data-Sharing Markets: Model, Protocol, and Algorithms to Incentivize the Formation of Data-Sharing Consortia	2023	SIGMOD	6.5084717e-05
4,808	Selective Data Acquisition in the Wild for Model Charging	2022	VLDB	6.4991553e-05
5,300	Towards Distribution-aware Query Answering in Data Markets	2022	VLDB	6.2751506e-05
5,510	Responsible Data Integration: Next-generation Challenges	2022	SIGMOD	6.1919207e-05

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