表格数据的生成模型:综述

IF 1.5 4区 工程技术 Q3 ENGINEERING, MECHANICAL
Dong-Keon Kim, DongHeum Ryu, Yongbin Lee, Dong-Hoon Choi
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引用次数: 0

摘要

生成设计指的是一种方法论,它不仅能模拟给定数据或系统的特征,还能为各种目的创建人工数据。它是一个重要的研究领域,涵盖隐私保护、数据分布分析和代用模型开发等各种问题。最初,这一领域的研究主要采用随机模型或基本的机器学习方法。然而,随着深度学习技术的发展,出现了许多研究,展示了使用基于人工神经网络的方法(如变异自动编码器(VAE)和生成对抗网络(GAN))开发的机制。这些研究涉及不同的数据类型,包括图像和文本,并针对特定目标进行了定制。本文系统回顾了以表格数据为重点的生成式设计研究。我们首先阐明了生成式设计中表格数据的特点,然后讨论了这一领域的目标和挑战。随后,本文介绍了关于表格数据的各种生成设计研究,并根据其方法论发展和独特目标进行了分类。最后,我们讨论了表格生成设计中使用的基准方法以及如何评估其性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generative models for tabular data: A review

Generative design refers to a methodology that not only simulates the characteristics of a given data or system but also creates artificial data for various purposes. It’s a significant research area encompassing diverse issues such as privacy preservation, data distribution analysis, and the development of surrogate models. Initially, research in this field primarily employed stochastic models or basic machine learning methods. However, with the advancement of deep learning technology, numerous studies have emerged, showcasing developed mechanisms using artificial neural network-based methods like variational autoencoders (VAEs) and generative adversarial networks (GANs). These studies extend across different data types, including images and texts, tailored to specific objectives. This paper presents a systematic review of generative design research focused on tabular data. We begin by elucidating the characteristics of tabular data within generative design, followed by a discussion on the goals and challenges in this area. Subsequently, the paper introduces various generative design studies on tabular data, categorized according to their methodological development and unique objectives. Finally, we address the benchmark methods used in generative design for tabular and how their performance is evaluated.

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来源期刊
Journal of Mechanical Science and Technology
Journal of Mechanical Science and Technology 工程技术-工程:机械
CiteScore
2.90
自引率
6.20%
发文量
517
审稿时长
7.7 months
期刊介绍: The aim of the Journal of Mechanical Science and Technology is to provide an international forum for the publication and dissemination of original work that contributes to the understanding of the main and related disciplines of mechanical engineering, either empirical or theoretical. The Journal covers the whole spectrum of mechanical engineering, which includes, but is not limited to, Materials and Design Engineering, Production Engineering and Fusion Technology, Dynamics, Vibration and Control, Thermal Engineering and Fluids Engineering. Manuscripts may fall into several categories including full articles, solicited reviews or commentary, and unsolicited reviews or commentary related to the core of mechanical engineering.
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