A Survey on Synthetic Data Generation and Evaluation Methods, Rui Chen, Ziying Wu, Guanchen Li, Sijie Li, Jiacheng Cao, Yongqiang Zhang, and Hongmei Li, 2022ACM Computing Surveys, Vol. 55 (Association for Computing Machinery)DOI: 10.1145/3547101 - Provides a broad overview of synthetic data generation techniques and critically examines various evaluation metrics and methodologies for assessing synthetic data quality, fidelity, and utility.
Synthetic Data Generation for Machine Learning: A Practical Guide, Hamid Ghasemi, Mohammad Rezaei, Hamed Ahmadi, and Maryam Ghasemi, 2023 (Springer)DOI: 10.1007/978-3-031-29402-9 - This book offers a comprehensive guide, including practical considerations and methods for evaluating synthetic data for machine learning applications, covering both theoretical aspects and practical implementations.