Aims and scope
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.
Open Article Collection
Advanced Soft Computing Methodologies and Applications in Social Media Big Data Analytics
Lead Guest Editor
- Zhiyong Zhang, Distinguished Professor, Henan University of Science & Technology, China
- Kun Hua, Lawrence Technology University, USA
- Arun Kumar Sangaiah, VIT University, India