ジャーナル情報

Journal of Big Data

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インパクトファクター:
6.4
出版社:
Springer
ISSN:
2196-1115
閲覧:
27152
フォロー:
2

論文募集

Journal of Big Data is an academic journal published by Springer. (ISSN 2196-1115, impact factor 6.4).

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 papers and case studies are also considered. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material.
最終更新：Dou Sun（）

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関連会議

CCFICOREQUALIS略称正式名称投稿締切通知日開催日
Big DataInternational Conference on Big Data2014-04-302014-06-052014-08-04
IEEE Big Data ServiceIEEE International Conference On Big Data Service and Applications2018-11-302019-01-102019-04-04
DATAInternational Conference on Data Science, Technology and Applications2023-02-232023-04-212023-07-11
Data'International Conference on Data Science, E-learning and Information Systems2019-04-152019-05-152019-12-02
Innovate-DataInternational Conference on Big Data Innovations and Applications2019-04-162019-05-202019-08-26
ALLDATAInternational Conference on Big Data, Small Data, Linked Data and Open Data2022-01-242022-02-172022-04-24
Smart DataIEEE International Conference on Smart Data2016-09-302016-10-312016-12-15
DDDMBDInternational Conference on Database, Data Warehouse, Data Mining and Big Data2015-08-252015-09-10
DMBD'International Conference on Data Mining and Big Data2021-07-102021-07-202021-07-23
DMBDInternational Conference on Data Mining and Big Data2020-03-192020-03-312020-07-14

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