Data Pricing -- From Economics to Data Science
Data Pricing -- From Economics to Data Science
复制标题
数据定价——从经济学到数据科学
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
J. Pei
中科院分区：
文献类型：
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作者：
J. Pei
数据是无价的。我们如何客观和定量地评估数据的价值？定价数据，或一般的信息商品，已经在分散的领域和原理中进行了研究和实践，例如经济学，数据管理，数据挖掘，电子商务和市场营销。在本教程中，我们将对这一重要方向进行统一而全面的概述。我们研究数据定价背后的各种动机，了解数据定价的经济学，回顾定价模型的发展和演变，并比较数据市场的建议。我们涵盖数字产品，如电子书和MP3音乐，以及数据产品，如数据集，数据查询和机器学习模型。我们还将数据定价与高度相关的领域联系起来，例如云服务定价，隐私定价和区块链等分散的隐私保护基础设施。
Data are invaluable. How can we assess the value of data objectively and quantitatively? Pricing data, or information goods in general, has been studied and practiced in dispersed areas and principles, such as economics, data management, data mining, electronic commerce, and marketing. In this tutorial, we present a unified and comprehensive overview of this important direction. We examine various motivations behind data pricing, understand the economics of data pricing, review the development and evolution of pricing models, and compare the proposals of marketplaces of data. We cover both digital products, such as ebooks and MP3 music, and data products, such as data sets, data queries and machine learning models. We also connect data pricing with the highly related areas, such as cloud service pricing, privacy pricing, and decentralized privacy preserving infrastructure like blockchains.