Big Data Analytics and Data Science
Big Data Analytics and Data Science is a peer-reviewed academic journal that publishes cutting-edge research in big data analytics and data science, emphasising data-driven methods and intelligent analytics for decision support and innovation, covering areas such as big data architectures and platforms, data mining and predictive analytics, machine learning for data analytics, data visualization and visual analytics, processing of structured, semi-structured, and unstructured data, business intelligence and data-driven decision-making, as well as ethical, privacy, and governance aspects of data science. The journal is published in March, June, September, and December.
Aim & Scope
Aims This journal aims to publish cutting-edge research in big data analytics and data science, emphasizing data-driven methods and intelligent analytics for decision support and innovation. Scope Big data architectures and platforms Data mining and predictive analytics Machine learning for data analytics Data visualization and visual analytics Structured, semi-structured, and unstructured data processing Business intelligence and data-driven decision-making Ethical, privacy, and governance aspects of data science
Subject Areas
All Articles
Total: 5 articles