Advanced Data Science and Computational Intelligence (single issue)
Big Data Analytics and Scalable Computing
With the fast increase in the amount of data created by digital technologies, interconnected devices, scientific discoveries, and corporate activities, there is a greater demand for the development of new approaches and techniques for processing such data. Big Data Analytics studies ways of finding valuable patterns and insights based on massive sets of heterogeneous data, while Scalable Computing offers the computational models required for handling such data efficiently in distributed systems. Together, Big Data Analytics and Scalable Computing facilitate managing an increasing amount of data, enabling real-time data analysis and enhancing decision-making in numerous data-oriented applications. The Journal of Advanced Data Science and Computational Intelligence invites authors to submit articles that discuss novel methods for efficient processing of big data, including distributed computing, high-performance computing, and scalable frameworks.