دورية أكاديمية

Data science: connotation, methods, technologies, and development

التفاصيل البيبلوغرافية
العنوان: Data science: connotation, methods, technologies, and development
المؤلفون: Zongben Xu, Niansheng Tang, Chen Xu, Xueqi Cheng
المصدر: Data Science and Management, Vol 1, Iss 1, Pp 32-37 (2021)
بيانات النشر: KeAi Communications Co. Ltd., 2021.
سنة النشر: 2021
المجموعة: LCC:Electronic computers. Computer science
مصطلحات موضوعية: data science, data science methodology, big data, technical directions, Electronic computers. Computer science, QA75.5-76.95
الوصف: The rapid development of big data breeds data science. Understanding and mastering the internal pattern of the value generation of big data is important for improving digitization and the covergence of data science with management science, computer science, and other disciplines. In this study, we discuss the significance of data science for the development of science and technology and social progress. Based on the interpretation of the connotation of data science, we introduce the definition of data science and review its formation by summarizing the major progress of related disciplines. We also discuss the research methodologies, development patterns and trends, and technical directions of data science. Finally, we make suggestions for data science to promote the development of data-based science and technology.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2666-7649
Relation: http://www.sciencedirect.com/science/article/pii/S2666764921000035; https://doaj.org/toc/2666-7649
DOI: 10.1016/j.dsm.2021.02.002
URL الوصول: https://doaj.org/article/1a21eaafdca240d69abf0dab88576c73
رقم الأكسشن: edsdoj.1a21eaafdca240d69abf0dab88576c73
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:26667649
DOI:10.1016/j.dsm.2021.02.002