About the Journal
Journal of Computation and Data Analysis (JKDA) is a scientific journal focused on publishing research on the development and application of computational techniques in data analysis. JKDA is a platform for researchers, academics, and practitioners in computation and data science to share their latest data processing, analysis, interpretation, and utilization findings.
The articles published in JKDA cover a wide range of topics, including computational methods and algorithms for data analysis, data modeling techniques, data visualization, natural language processing, artificial intelligence, machine learning, predictive analysis, big data analysis, and information technology applications related to these fields.
Through JKDA publications, readers can access the latest information on recent computation and data analysis developments and gain deep insights into how these technologies can be applied in various fields, such as science, technology, medicine, finance, and more. JKDA aims to promote collaboration among researchers and advance knowledge in this increasingly important field.
