Synthesizers: A Meta-Framework for Generating and Evaluating High-Fidelity Tabular Synthetic Data

Peter Schneider-Kamp, Anton Lautrup, Tobias Hyrup

2024

Abstract

Synthetic data is by many expected to have a significant impact on data science by enhancing data privacy, reducing biases in datasets, and enabling the scaling of datasets beyond their original size. However, the current landscape of tabular synthetic data generation is fragmented, with numerous frameworks available, only some of which have integrated evaluation modules. synthesizers is a meta-framework that simplifies the process of generating and evaluating tabular synthetic data. It provides a unified platform that allows users to select generative models and evaluation tools from open-source implementations in the research field and apply them to datasets of any format. The aim of synthesizers is to consolidate the diverse efforts in tabular synthetic data research, making it more accessible to researchers from different sub-domains, including those with less technical expertise such as health researchers. This could foster collaboration and increase the use of synthetic data tools, ultimately leading to more effective research outcomes.

Paper Citation

in Harvard Style

Schneider-Kamp P., Lautrup A. and Hyrup T. (2024). Synthesizers: A Meta-Framework for Generating and Evaluating High-Fidelity Tabular Synthetic Data. In Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT; ISBN 978-989-758-706-1, SciTePress, pages 177-184. DOI: 10.5220/0012856000003753

in Bibtex Style

@conference{icsoft24,
author={Peter Schneider-Kamp and Anton Lautrup and Tobias Hyrup},
title={Synthesizers: A Meta-Framework for Generating and Evaluating High-Fidelity Tabular Synthetic Data},
booktitle={Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT},
year={2024},
pages={177-184},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012856000003753},
isbn={978-989-758-706-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT
TI - Synthesizers: A Meta-Framework for Generating and Evaluating High-Fidelity Tabular Synthetic Data
SN - 978-989-758-706-1
AU - Schneider-Kamp P.
AU - Lautrup A.
AU - Hyrup T.
PY - 2024
SP - 177
EP - 184
DO - 10.5220/0012856000003753
PB - SciTePress