Journal of big data.
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 f...
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| Place / Publishing House: | Heidelberg, Germany : : Springer-Verlag, GmbH,, 2014- |
|---|---|
| Publication history: | Began with 1:1 (24 June 2014). |
| Language: | English |
| Physical Description: | 1 online resource |
| Notes: | Refereed/Peer-reviewed |
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| 210 | |a J BIG DATA | ||
| 210 | 0 | |a J Big Data | |
| 222 | 0 | |a Journal of big data | |
| 245 | 0 | 0 | |a Journal of big data. |
| 264 | 1 | |a Heidelberg, Germany : |b Springer-Verlag, GmbH, |c 2014- | |
| 300 | |a 1 online resource | ||
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| 362 | 1 | |a Began with 1:1 (24 June 2014). | |
| 500 | |a Refereed/Peer-reviewed | ||
| 506 | 0 | |f Unrestricted online access |2 star | |
| 520 | |a 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. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | 0 | |a 1:1 (24 June 2014); title from journal homepage (SpringerOpen web site, viewed July 23, 2014). | |
| 588 | 1 | |a 4:3 (10 October 10) (viewed October 13, 2017). | |
| 650 | 0 | |a Big data |v Periodicals. | |
| 650 | 0 | |a Data mining |v Periodicals. | |
| 650 | 0 | |a Cyberinfrastructure |v Periodicals. | |
| 650 | 1 | 2 | |a Data Mining |
| 650 | 2 | 2 | |a Access to Information |
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| 650 | 2 | 2 | |a Information Storage and Retrieval |
| 650 | 7 | |a Big data. |2 fast |0 (OCoLC)fst01892965 | |
| 650 | 7 | |a Cyberinfrastructure. |2 fast |0 (OCoLC)fst01746452 | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 653 | |a Computer Science | ||
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| 655 | 4 | |a Periodicals. | |
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| AVE | |Z 5342093190004498 |A 2014 | ||