Journal of big data
データ種別 | 電子ジャーナル |
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出版者 | Heidelberg, Germany : Springer-Verlag, GmbH |
出版年 | 2014- |
雑誌巻号一覧 |
書誌詳細を非表示
書誌ID | OJ00031529 |
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本文言語 | 英語 |
別書名 | 略タイトル:J Big Data キータイトル:Journal of big data |
一般注記 | Current Publication Frequency:Irregular Began with 1:1 (24 June 2014) License restrictions may limit access Summary:Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. 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 Mode of access: World Wide Web 1:1 (24 June 2014); title from journal homepage (SpringerOpen web site, viewed July 23, 2014) 4:3 (10 October 10) (viewed October 13, 2017) |
件 名 | LCSH:Big data -- Periodicals
全ての件名で検索
LCSH:Data mining -- Periodicals 全ての件名で検索 LCSH:Cyberinfrastructure -- Periodicals 全ての件名で検索 MESH:Data Mining MESH:Access to Information MESH:Information Dissemination MESH:Information Storage and Retrieval FREE:Big data FREE:Cyberinfrastructure FREE:Data mining |
資料種別 | 機械可読データファイル |
ISSN | 21961115 |
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※2020年8月16日以降