Business data sharing through data marketplaces: A systematic literature review
Data marketplaces are expected to play a crucial role in tomorrow's data economy, but such
marketplaces are seldom commercially viable. Currently, there is no clear understanding of …
marketplaces are seldom commercially viable. Currently, there is no clear understanding of …
Big data systems meet machine learning challenges: towards big data science as a service
Recently, we have been witnessing huge advancements in the scale of data we routinely
generate and collect in pretty much everything we do, as well as our ability to exploit modern …
generate and collect in pretty much everything we do, as well as our ability to exploit modern …
A survey on data pricing: from economics to data science
J Pei - IEEE Transactions on knowledge and Data …, 2020 - ieeexplore.ieee.org
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 …
quantitatively? Pricing data, or information goods in general, has been studied and practiced …
Machine learning based privacy-preserving fair data trading in big data market
In the era of big data, the produced and collected data explode due to the emerging
technologies and applications that pervade everywhere in our daily lives, including internet …
technologies and applications that pervade everywhere in our daily lives, including internet …
[HTML][HTML] Data sharing in energy systems
Big data has been advocated as a dominant driving force to unleash the great waves of the
next-generation industrial revolution. While the ever-increasing proliferation of …
next-generation industrial revolution. While the ever-increasing proliferation of …
The economics of ownership, access and trade in digital data
Despite the rapidly growing volume and economic importance of data in the digital
economy, the legal framework for data ownership, access and trade remains incompletely …
economy, the legal framework for data ownership, access and trade remains incompletely …
Towards model-based pricing for machine learning in a data marketplace
Data analytics using machine learning (ML) has become ubiquitous in science, business
intelligence, journalism and many other domains. While a lot of work focuses on reducing …
intelligence, journalism and many other domains. While a lot of work focuses on reducing …
A theory of pricing private data
Personal data has value to both its owner and to institutions who would like to analyze it.
Privacy mechanisms protect the owner's data while releasing to analysts noisy versions of …
Privacy mechanisms protect the owner's data while releasing to analysts noisy versions of …
Query-based data pricing
Data is increasingly being bought and sold online, and Web-based marketplace services
have emerged to facilitate these activities. However, current mechanisms for pricing data are …
have emerged to facilitate these activities. However, current mechanisms for pricing data are …
Less is more: Selecting sources wisely for integration
We are often thrilled by the abundance of information surrounding us and wish to integrate
data from as many sources as possible. However, understanding, analyzing, and using …
data from as many sources as possible. However, understanding, analyzing, and using …