数据集:数字取证和人工智能:十年的进展和趋势(2012-2022)

Febriandi Berutu, M. Multazam
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引用次数: 0

摘要

这篇数据文章旨在通过提供来自Lens.org的综合数据集来简化数字取证和人工智能的研究。使用基于文档类型、出版日期范围和主题的三步筛选过程,提取了2012年至2022年间发表的总共76篇文章。分析显示,洛桑大学是排名第一的大学,计算机科学是主要的研究领域,而英国是该领域最活跃的地区。该数据集对于寻求深入了解数字取证和人工智能领域的研究人员和从业人员非常有价值。亮点:包含2012 - 2022年数字取证和人工智能领域76篇文章的综合数据集。分析揭示了该领域的顶尖机构、研究领域和最活跃的地区。对于寻求深入了解数字取证和人工智能领域的研究人员来说,这是宝贵的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dataset: Digital Forensics and Artificial Intelligence: A Decade of Progress and Trends (2012-2022)
This data article aims to streamline research on Digital Forensics and Artificial Intelligence by providing a comprehensive dataset derived from Lens.org. Using a three-step filtering process based on document type, publication date range, and subject matter, a total of 76 articles published between 2012 and 2022 were extracted. The analysis revealed that the University of Lausanne was the top institution, computer science was the dominant field of study, and the United Kingdom was the most active region in this domain. This dataset is valuable for researchers and practitioners seeking insights into the digital forensics and artificial intelligence landscape. Highlights: Comprehensive dataset of 76 articles in digital forensics and artificial intelligence from 2012 to 2022. Analysis reveals top institutions, fields of study, and most active regions in the domain. Valuable resource for researchers seeking insights into the digital forensics and AI landscape.  
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