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The Synthetic Data Vault

2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016
The goal of this paper is to build a system that automatically creates synthetic data to enable data science endeavors. To achieve this, we present the Synthetic Data Vault (SDV), a system that builds generative models of relational databases. We are able to sample from the model and create synthetic data, hence the name SDV. When implementing the SDV,
Neha Patki   +2 more
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Synthetic Data

Annual Review of Statistics and Its Application, 2021
Demand for access to data, especially data collected using public funds, is ever growing. At the same time, concerns about the disclosure of the identities of and sensitive information about the respondents providing the data are making the data collectors limit the access to data.
openaire   +1 more source

Synthetic Data: Servicing Privacy

In contemporary society, big tech platforms have leveraged their ownership over global data infrastructures and have established powerful influence over the conditions of digitally mediated life. The ubiquity of platform-mediated information technology has engendered a growing sense of unease about surveillance and loss of personal autonomy.
Munkholm, Johan Lau, Wiehn, Tanja
openaire   +2 more sources

Synthetic Data Generation: Generating High-Utility Synthetic Parcel Data; Applications and Implications of Synthetic Data

2022
As technological advancements occur at an exponential rate, the demand for data also increases. The spread of information through online platforms has also raised concerns about data privacy. To address scarcity and privacy concerns, synthetic data has been gaining popularity and acceptance in various fields.
openaire   +1 more source

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