This paper proposes three different data generators, tailored to transactional datasets, based on existing itemset-based
generative models. All these generators are intuitive and easy to implement and show satisfactory performance. The quality of each generator is assessed by means of three different methods that capture how well the original dataset structure is preserved.
Lezcano, C.; Arias, M. Synthetic dataset generation with itemset-based generative models. A: IEEE International Symposium on Software Reliability Engineering. "2019 IEEE 30th International Symposium on Software Reliability Engineering Workshops: 28–31 October 2019, Berlin, Germany". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 288-293.