所属栏目：SCI相关知识 发布时间：2023-09-18浏览量:423
大数据方向的sci期刊有哪些呢？sci期刊属于学术水平比较高的刊物，对论文的要求也很高，发表大数据类sci论文，要选择符合的刊物投稿。并不是所有的期刊都适合发表论文的，要提前了解清楚要求。接下来，详细的推荐四本期刊，仅供参考。
1、AUTOMATICA
学科领域：
大类：计算机科学
小类：自动化与控制系统
中科院分区：2区
期刊简介：Automatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field.
2、CONSTRAINTS
学科领域：
大类：计算机科学
小类：计算机：人工智能
中科院分区：4区
期刊简介：Constraints provides a common forum for the many disciplines interested in constraint programming and constraint satisfaction and optimization, and the many application domains in which constraint technology is employed. It covers all aspects of computing with constraints: theory and practice, algorithms and systems, reasoning and programming, logics and languages.
3、ETRI JOURNAL
学科领域：
大类：计算机科学
小类：工程：电子与电气
中科院分区：4区
期刊简介：ETRI Journal is an international, peer-reviewed multidisciplinary journal published bimonthly in English. The main focus of the journal is to provide an open forum to exchange innovative ideas and technology in the fields of information, telecommunications, and electronics.
4、IEEE SOFTWARE
学科领域：
大类：计算机科学
小类：计算机：软件工程
中科院分区：4区
期刊简介：IEEE Software delivers reliable, useful, leading-edge software development information to keep engineers and managers abreast of rapid technology change. Its mission is to build the community of leading software practitioners. The authority on translating software theory into practice, this magazine positions itself between pure research and pure practice, transferring ideas, methods, and experiences among researchers and engineers. Peerreviewed articles and columns by seasoned practitioners illuminate all aspects of the industry, including process improvement, project management, development tools, software maintenance, Web applications and opportunities, testing, and usability.