Journal of Big Data
Journal Title
- Journal of Big Data
ISSN
- 2196-1115
Publisher
- Springer
Listed on(Coverage)
| JCR | 2021-2023 |
|---|---|
| SJR | 2016-2020;2022-2023 |
| CiteScore | 2016-2023 |
| SCIE | 2021-2024 |
| CC | 2021-2024 |
| SCOPUS | 2017-2024 |
| DOAJ | 2017-2024 |
OA Info.
| OA |
based on the information
|
|---|---|
| Keywords | data analytics, data-intensive computing, data mining, machine learning algorithms, distributed systems |
| Review Process | Anonymous peer review |
| Journal info. pages | |
| Licences | CC BY |
| Copyrights | Yes |
| DOAJ Coverage |
|
| Subject(s) | Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware | Technology: Technology (General): Industrial engineering. Management engineering: Information technology | Science: Mathematics: Instruments and machines: Electronic computers |
Active
- Active
based on the information
- SCOPUS:2024-10
Country
- GERMANY
Aime & Scopes
- The 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. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material.