Journal on Big Data (JBD) is launched in a new area when the engineering features of big data are setting off upsurges of explorations in algorithms, raising challenges on big data, and industrial development integration;
该期刊是一本开放期刊,近三年没有被列入预警名单。该期刊享有很高的科学声誉,影响因子不断增加,发行量也同样高。 2区 中科院分区 Q1 JCR分区 179 年发文量 8.6 IF影响因子 开放 是否OA 1 issue/year 出版周期 English 出版语言 Journal Of Big Data is an academic journal focused on the field of...
期刊简介预计审稿时间: 13 Weeks Journal Of Big Data is an academic journal focused on the field of big data, which not only welcomes the research of deep learning algorithms, but also covers a wide range of areas of big data applications. In particular, the journal encourages in-depth ...
Aims and scope The Journal of Big Data publishes open-access original research on data science and data analytics. Deep learning algorithms and all applications of big data are welcomed. Survey pape…
期刊简称 参考译名《大数据杂志》 核心类别 SCIE(2024版), 目次收录(维普), 知网外文库,外文期刊, IF影响因子 自引率 主要研究方向COMPUTER SCIENCE, THEORY & METHODS Journal of Big Data《大数据杂志》(一年1卷). The Journal of Big Data publishes open-access original research on data science and data...
期刊简介 Journal Title:Journal Of Big Data Journal Of Big Data is an academic journal focused on the field of big data, which not only welcomes the research of deep learning algorithms, but also covers a wide range of areas of big data applications. In particular, the journal encourages ...
SCIE期刊 学科领域:COMPUTER SCIENCE, THEORY & METHODS Journal Of Big Data is an academic journal focused on the field of big data, which not only welcomes the research of deep learning algorithms, but also covers a wide range of areas of big data applications. In particular, the journal en...
https://journalofbigdata.springeropen.com/ 影响因子: 8.600 出版商: Springer ISSN: 2196-1115 浏览: 17945 关注: 2 征稿 Aims and scope The Journal of Big Data publishes open-access original research on data science and data analytics. Deep learning algorithms and all applications of big data ar...
Executing analytics on Big Data imposes new challenges. Traditional algorithms for data mining assume to have access to the entire dataset, while high data volumes and real-time processing give access only to fractions of the dataset. For example, data transformation techniques adopted in batch scena...
Find breakthrough research in Journal of Big Data, an open access journal that publishes comprehensive research on all aspects of data science and big data ...