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...
| Formato: | Revista digital |
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| Idioma: | Inglés |
| Publicado: |
Heidelberg, Germany :
Springer-Verlag, GmbH
2014-
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009423526106719 |
| Sumario: | 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. |
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| Publicado: | Began with 1:1 (24 June 2014) |
| Notas: | Refereed/Peer-reviewed |
| Descripción Física: | 1 online resource |
| Frecuencia de Publicación: | Irregular |
| Formato: | Mode of access: World Wide Web. |
