  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.

Databases;Artificial Intelligence