Exploring data elements pricing with market factors -machine learning models based on integrated algorithms
Author:
Funder
National Social Science Fund of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42488-024-00133-0.pdf
Reference48 articles.
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2. Alsheikh MA, Hoang DT, Niyato D et al (2020) Optimal pricing of internet of things: a machine learning approach. IEEE J Sel Areas Commun 38(4):669–684. https://doi.org/10.1109/JSAC.2020.2971898
3. Birch K, Cochrane DT and Ward C (2021) Data as asset? The measurement, governance, and valuation of digital personal data by Big Tech. Big Data Soc 8(1). https://doi.org/10.1177/20539517211017308
4. Cai YZ, Liu YX (2022) Preliminary Exploration of Classification and Scale Estimation of Data Flow Trading Models. China Econ 17:78–112. https://doi.org/10.19602/j.chinaeconomist.2022.11.04
5. Cong Z, Luo X, Pei J et al (2022) Data pricing in machine learning pipelines. Knowl Inf Syst 64(6):1417–1455. https://doi.org/10.1007/s10115-022-01679-4
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