乐胖代购免代理版

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Teng . 2019. Revenue maximization for query pricing . Proc. VLDB Endow. 13 (09 2019 ). S. Chawla, S. Deep, P. Koutris, and Y. Teng. 2019. Revenue maximization for query pricing. Proc. VLDB Endow. 13 (09 2019)."},{"volume-title":"Proc. of SIGMOD'19","author":"Chen L.","key":"e_1_3_2_1_13_1","unstructured":"L. Chen , P. Koutris , and A. Kumar . 2019. Towards Model-Based Pricing for Machine Learning in a Data Marketplace . In Proc. of SIGMOD'19 . ACM. L. Chen, P. Koutris, and A. Kumar. 2019. Towards Model-Based Pricing for Machine Learning in a Data Marketplace. In Proc. of SIGMOD'19. ACM."},{"key":"e_1_3_2_1_14_1","unstructured":"M. Dahleh. 2018. Why the Data Marketplaces of the Future Will Sell Insights Not Data. M. Dahleh. 2018. Why the Data Marketplaces of the Future Will Sell Insights Not Data."},{"key":"e_1_3_2_1_15_1","unstructured":"EU. 2016. General Data Protection Regulation (GDPR). EU. 2016. 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IOTA data marketplace. https:\/\/data.iota.org\/. Last accessed: Oct'22. IOTA. 2022. IOTA data marketplace. https:\/\/data.iota.org\/. Last accessed: Oct'22."},{"key":"e_1_3_2_1_20_1","volume":"201","author":"Jia R.","unstructured":"R. Jia , D. Dao , B. Wang , F. A. Hubis , N. Hynes , N. M. G\u00fcrel , B. Li , C. Zhang , D. Song , and C. J. Spanos. 201 9. Towards Efficient Data Valuation Based on the Shapley Value (Proc. of ML Research, Vol. 89). R. Jia, D. Dao, B. Wang, F. A. Hubis, N. Hynes, N. M. G\u00fcrel, B. Li, C. Zhang, D. Song, and C. J. Spanos. 2019. Towards Efficient Data Valuation Based on the Shapley Value (Proc. of ML Research, Vol. 89).","journal-title":"J. Spanos."},{"key":"e_1_3_2_1_21_1","unstructured":"Kaggle. 2015 (accessed Sep'22). ECML\/PKDD 15: Taxi Trajectory Prediction. https:\/\/www.kaggle.com\/c\/pkdd-15-predict-taxi-service-trajectory-i\/data Kaggle. 2015 (accessed Sep'22). 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One-Stop Shop for Vehicle Data. https:\/\/otonomo.io\/. Last accessed: Sep'22. Otonomo. 2022. One-Stop Shop for Vehicle Data. https:\/\/otonomo.io\/. Last accessed: Sep'22."},{"key":"e_1_3_2_1_30_1","unstructured":"Hubert P. and Ricco G. 2018. Imperfect information in macroeconomics. Sciences Po publications (2018). Hubert P. and Ricco G. 2018. Imperfect information in macroeconomics. Sciences Po publications (2018)."},{"key":"e_1_3_2_1_31_1","unstructured":"J. Pei. 202"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"E. Posner and G. Weyl. 2018. Radical Markets. Uprooting Capitalism and Democracy for a Just Society. Princeton Univ. Press. E. Posner and G. Weyl. 2018. Radical Markets. Uprooting Capitalism and Democracy for a Just Society. Princeton Univ. Press.","DOI":"10.23943\/9781400889457"},{"key":"e_1_3_2_1_33_1","unstructured":"Refinitiv. 2022. Data Catalog. https:\/\/www.refinitiv.com\/en\/financial-data. Last accessed: Sep'22. Refinitiv. 2022. 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Last accessed: Sep'22."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Yan T. and Procaccia A. 2020. If You Like Shapley Then You'll Love the Core. Yan T. and Procaccia A. 2020. If You Like Shapley Then You'll Love the Core.","DOI":"10.1609\/aaai.v35i6.16721"},{"key":"e_1_3_2_1_41_1","unstructured":"TAUS. 2022. Data Marketplace. https:\/\/datamarketplace.taus.net\/. Last accessed: Oct'22. TAUS. 2022. Data Marketplace. https:\/\/datamarketplace.taus.net\/. Last accessed: Oct'22."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"J. Yang C. Zhao and C. Xing. 2019. Big Data Market Optimization Pricing Model Based on Data Quality. Complexity 2019 (04 2019). J. Yang C. Zhao and C. Xing. 2019. Big Data Market Optimization Pricing Model Based on Data Quality. 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