Multi-disciplinary open-access, peer reviewed journal, which welcomes cutting-edge articles describing original basic and applied work involving biologically-inspired computational accounts of all aspects of big data science analytics.
Peer-reviewed journal provides a forum for the examination of issues related to the research & applications of Artificial Intelligence techniques in data analysis across a variety of disciplines.
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.
Peer-reviewed journal serving researchers and practitioners in academia and industry concerned with experimental and theoretical work on social network analysis and mining
