Journal of big data
| Format | Electronic |
| Publication Info | Heidelberg, Germany : Springer-Verlag, GmbH, 2014- |
| Supplemental Content | Click here for full text |
| Subjects |
| Uniform title | Journal of big data (Online) |
| Frequency | Irregular |
| Abstract | 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. |
| Access restriction | Available only to authorized users. |
| Other forms | Also available in print. |
| Technical details | Mode of access: World Wide Web. |
| Source of description | 1:1 (24 June 2014); title from journal homepage (SpringerOpen web site, viewed July 23, 2014). |
| Source of description | 4:3 (10 October 10) (viewed October 13, 2017). |
| Genre/form | Electronic journals. |
| LCCN | 2014254719 |
| ISSN | 2196-1115 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |