Write in a clean editor, then format for Big Data Analytics in one click — DocuGuru applies the official BMC (BioMed Central) template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
Big Data Analytics is a peer-reviewed journal published by BMC (BioMed Central), covering Big Data and Business Intelligence, Big Data Technologies and Applications, Cloud Computing and Resource Management. Over its lifetime it has published 213 papers, which have received 2,478 citations.
| Publisher | BMC (BioMed Central) |
|---|---|
| Reference style | Numbered (Vancouver) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. Big Data Analytics. 2023;12(3):45–58.
Formats any DOI in Big Data Analytics style. No sign-up. |
| Publishes research in | Big Data and Business Intelligence Big Data Technologies and Applications Cloud Computing and Resource Management Data Stream Mining Techniques Data Mining Algorithms and Applications |
| ISSN | 2058-6345 |
| Citation impact (2-yr) | 2.17 |
| h-index | 17 |
| i10-index | 35 |
| Article processing charge | $1,459 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Xi’an Jiaotong-Liverpool University |
| Journal website | link.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
The massive growth in the scale of data has been observed in recent years being a key factor of the Big Data scenario. Big Data can be defined as high volume, velocity and variety of data that require a new high-performance processing. Addressing big data is a challenging and time-demanding task that requires a large…
One of the key technologies for future large-scale location-aware services covering a complex of multi-story buildings is a scalable indoor localization technique. In this paper, we report the current status of our investigation on the use of deep neural networks (DNNs) for the scalable building/floor classification and floor-level position estimation based on Wi-Fi fingerprinting. Exploiting…
With the explosion of social media sites and proliferation of digital computing devices and Internet access, massive amounts of public data is being generated on a daily basis. Efficient techniques/algorithms to analyze this massive amount of data can provide near real-time information about emerging trends and provide early warning in case of an imminent emergency…
Abstract Modeling and analyses of complex systems using network theory have been an object of study for a long time. They have caught attention in many disciplines such as sociology, epidemiology, ecology, psychology, biology, biomedicine, and other fields. Network theory is especially an efficient tool to model biological networks such as gene co-expression networks, protein-protein…
The large amounts of data have created a need for new frameworks for processing. The MapReduce model is a framework for processing and generating large-scale datasets with parallel and distributed algorithms. Apache Spark is a fast and general engine for large-scale data processing based on the MapReduce model. The main feature of Spark is the…
