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Demonstration of Nimbus: Model-based Pricing for Machine Learning in a Data Marketplace

Summary: Demonstrates Nimbus, a data marketplace for ML using model-based pricing (MBP) instead of data pricing. Sellers vend ML models with price/accuracy constraints; buyers acquire models under budget/accuracy goals, improving seller revenue and buyer affordability with low runtime cost. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5739
Venue
SIGMOD
Year
2019
Pagerank
5.0175568e-05
Overall Rank
6,549 | 54.45%
DOI
10.1145/3299869.3320231

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
6,263 Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets 2023 VLDB 5.1349507e-05
7,380 Efficient Sampling Approaches to Shapley Value Approximation 2023 SIGMOD 4.746272e-05
10,392 Shapley Value Estimation Based on Differential Matrix 2025 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
140 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00042270404
761 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00017053783
1,279 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00012868394
1,891 Towards Model-based Pricing for Machine Learning in a Data Marketplace 2019 SIGMOD 0.00010194092
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