Synthetic Data Generation using Benerator Tool
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|Title:||Synthetic Data Generation using Benerator Tool||Authors:||Ayala-Rivera, Vanessa
Murphy, Liam, B.E.
|Permanent link:||http://hdl.handle.net/10197/9200||Date:||29-Oct-2013||Online since:||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.||Funding Details:||Science Foundation Ireland||Type of material:||Technical Report||Publisher:||University College Dublin||Keywords:||Synthetic data; Census data; Microdata; Benerator||Other versions:||https://arxiv.org/abs/1311.3312||Language:||en||Status of Item:||Not peer reviewed|
|Appears in Collections:||Computer Science Research Collection|
PEL Research Collection
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