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- W3006380785 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." @default.
- W3006380785 created "2020-02-24" @default.
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- W3006380785 date "2019-10-01" @default.
- W3006380785 modified "2023-10-03" @default.
- W3006380785 title "Synthetic Dataset Generation with Itemset-Based Generative Models" @default.
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- W3006380785 doi "https://doi.org/10.1109/issrew.2019.00086" @default.
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