基于项集生成模型的合成数据集生成

2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2019-10-01 DOI:10.1109/ISSREW.2019.00086

Christian Lezcano, Marta Arias

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引用次数: 2

摘要

本文提出了三种不同的数据生成器，基于现有的基于项目集的生成模型，为事务性数据集量身定制。所有这些生成器都直观，易于实现，并显示出令人满意的性能。每个生成器的质量通过三种不同的方法来评估，这些方法可以捕获原始数据集结构的保存程度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Synthetic Dataset Generation with Itemset-Based Generative Models

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.

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来源期刊

2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)

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