A Comprehensive Study of Shapley Value in Data Analytics
Summary: First comprehensive survey of Shapley value across the data-analytics workflow, unifying definitions and analyzing trade-offs among efficiency, approximation error, privacy, and interpretability. Introduces SVBench, an extensible benchmark framework and evaluation suite. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Hong Lin (Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security; Zhejiang University)
- 2. Shixin Wan (Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security; Zhejiang University)
- 3. Zhongle Xie (Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security; Zhejiang University)
- 4. Ke Chen (Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security; Zhejiang University)
- 5. Meihui Zhang (Beijing Institute of Technology)
- 6. Lidan Shou (Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security; Zhejiang University)
- 7. Gang Chen (Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security; Zhejiang University)
BibTeX Citation
@article{lin_vldb25,
title = {{A Comprehensive Study of Shapley Value in Data Analytics}},
author = {Lin, Hong and Wan, Shixin and Xie, Zhongle and Chen, Ke and Zhang, Meihui and Shou, Lidan and Chen, Gang},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {9},
pages = {3077--3092},
doi = {10.14778/3746405.3746429},
url = {https://doi.org/10.14778/3746405.3746429},
year = {2025}
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,488 | Towards Model-based Pricing for Machine Learning in a Data Marketplace | 2019 | SIGMOD | 0.00010612416 |
| 5,441 | Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games | 2024 | SIGMOD | 6.2184806e-05 |
| 6,145 | Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets | 2023 | VLDB | 5.9604471e-05 |
| 6,783 | Counterfactual Explanation of Shapley Value in Data Coalitions | 2024 | VLDB | 5.7758194e-05 |
| 8,250 | P-Shapley: Shapley Values on Probabilistic Classifiers | 2024 | VLDB | 5.4574671e-05 |
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