数据科学：关键方向、问题和观点

IF 0.4 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE

Scientific and Technical Information Processing Pub Date : 2024-03-07 DOI:10.3103/s0147688223060059

V. I. Gorodetsky

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引用次数: 0

摘要

摘要--本文概述了数据科学与人工智能的关系。文章还描述了数据科学与其他相关科学之间的多维双边关系，并简要介绍了数据科学的方法论及其主要研究方向。最后，文章还讨论了数据科学有望解决的一些挑战性问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Data Science: Key Directions, Problems, and Perspectives

查看原文本刊更多论文

Data Science: Key Directions, Problems, and Perspectives

Abstract—

This article outlines the boundaries of data science in relation to artificial intelligence. It also describes the multidimensional bilateral relationships between data science and other related sciences and provides a brief introduction to the methodology of data science and its key research directions. Finally, the article also discusses some challenging problems that data science is expected to address.

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来源期刊

Scientific and Technical Information Processing INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

1.00

自引率

42.90%

发文量

期刊介绍： Scientific and Technical Information Processing is a refereed journal that covers all aspects of management and use of information technology in libraries and archives, information centres, and the information industry in general. Emphasis is on practical applications of new technologies and techniques for information analysis and processing.