Journal of Big Data is now indexed in the Science Citation Index Expanded (SCIE). We are happy to announce that in June 2022, we received our first Impact Factor rating of 10.835!
This special issue proposal intends to capture the state-of-the-art applications and technologies such as the semantic web, machine learning, deep learning, natural language processing, internet of things, knowledge graph, process mining, and artificial intelligence, etc. which encompasses the wider spectrum of the Linked Open Data (LOD).
Call for papers: Advanced bio-inspired deep learning algorithms for multi-modal perceptual big data analysis in car-driver assistance systems
Next generation cars collect a wide variety of data coming from different systems that need to be processed and merged in order to provide adequate car driving assistance. The thematic series will look at approaches to car-driver assistance systems that make use of sophisticated bio-inspired algorithms and modern deep learning approaches.
Aims and scope
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.
Annual Journal Metrics
48 days to first decision for all manuscripts (Median)
116 days to first decision for reviewed manuscripts only (Median)
1,878,037 downloads (2021)
982 Altmetric mentions (2021)
- ISSN: 2196-1115 (electronic)