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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
5801
Venue
SIGMOD
Year
2019
Pagerank
5.9776732e-05
Overall Rank
6,100 | 58.15%
DOI
10.1145/3299869.3320231

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chen_sigmod19,
        title = {{Demonstration of Nimbus: Model-based Pricing for Machine Learning in a Data Marketplace}},
        author = {Chen, Lingjiao and Wang, Hongyi and Chen, Leshang and Koutris, Paraschos and Kumar, Arun},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3320231},
        url = {https://dl.acm.org/doi/10.1145/3299869.3320231},
        year = {2019}
}

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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
106 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00033539462
640 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00015409494
1,235 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00011548457
1,488 Towards Model-based Pricing for Machine Learning in a Data Marketplace 2019 SIGMOD 0.00010612416
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