Semantic Scholar Open Access 2020 163 sitasi

A Survey on Data Pricing: From Economics to Data Science

J. Pei

Lihat Sumber DOI

Abstrak

Data are invaluable. How can we assess the value of data objectively, systematically and quantitatively? Pricing data, or information goods in general, has been studied and practiced in dispersed areas and principles, such as economics, marketing, electronic commerce, data management, data mining and machine learning. In this article, we present a unified, interdisciplinary and comprehensive overview of this important direction. We examine various motivations behind data pricing, understand the economics of data pricing and review the development and evolution of pricing models according to a series of fundamental principles. We discuss both digital products and data products. We also consider a series of challenges and directions for future work.

Topik & Kata Kunci

Computer Science Economics

Penulis (1)

J. Pei

Format Sitasi

APA MLA BibTeX

Pei, J. (2020). A Survey on Data Pricing: From Economics to Data Science. https://doi.org/10.1109/TKDE.2020.3045927

Akses Cepat

Lihat di Sumber doi.org/10.1109/TKDE.2020.3045927

Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 163×
Sumber Database: Semantic Scholar
DOI: 10.1109/TKDE.2020.3045927
Akses: Open Access ✓