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Synthetic Data Generation using Benerator Tool
Date Issued
2013-10-29
Date Available
2018-01-24T12:24:47Z
Abstract
Datasets of different characteristics are needed by the research community for experimental purposes. However, real data may be difficult to obtain due to privacy concerns. Moreover, real data may not meet specific characteristics which are needed to verify new approaches under certain conditions. Given these limitations, the use of synthetic data is a viable alternative to complement the real data. In this report, we describe the process followed to generate synthetic data using Benerator, a publicly available tool. The results show that the synthetic data preserves a high level of accuracy compared to the original data. The generated datasets correspond to microdata containing records with social, economic and demographic data which mimics the distribution of aggregated statistics from the 2011 Irish Census data.
Sponsorship
Science Foundation Ireland
Type of Material
Technical Report
Publisher
University College Dublin. School of Computer Science and Informatics
Series
UCD CSI Technical Reports
UCD-CSI-2013-03
Web versions
Language
English
Status of Item
Not peer reviewed
This item is made available under a Creative Commons License
File(s)
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Name
UCD-CSI-2013-03_COCOAFramework.pdf
Size
685.25 KB
Format
Adobe PDF
Checksum (MD5)
9daee7aaef529d9f008a64d81503804e
Owning collection
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