Synthetic Dataset Generation with Itemset-Based Generative Models
arXiv:2007.06300 · doi:10.1109/ISSREW.2019.00086
Abstract
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.
IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW@RDSA 2019), Oct 2019