Synthetic Survey Data Generation and Evaluation
Published in Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’25), 2025
An end-to-end evaluation of five synthetic data generation methods for survey microdata using utility, fidelity, and privacy metrics.
Recommended citation: Jiang, Y., Liang, S., & Choi, J. (2025). Synthetic Survey Data Generation and Evaluation. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 2292–2302). ACM. https://doi.org/10.1145/3690624.3709421
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