Special Issue on Data Science and Analytics

"Data Science and Analytics" is an interdisciplinary field that combines statistical analysis, machine learning, and data management to extract insights from large and complex datasets. It involves the collection, processing, and interpretation of data to drive decision-making and innovation across various domains. By leveraging techniques in data mining, predictive modeling, and algorithm development, this field aims to solve real-world problems, optimize business processes, and uncover patterns that inform strategic planning and operational efficiency.

In this special issue, we intend to invite front-line researchers and authors to submit original research and review articles on Data Science and Analytics. Potential topics include, but are not limited to:

• Statistical modeling and inference
• Machine learning and predictive analytics
• Deep learning
• Bayesian methods and statistics
• Big data technologies and distributed computing
• Data mining and knowledge discovery
• Data visualization and visual analytics
• Time-series analysis and forecasting
• Data engineering
• Predictive analytics
• Decision-making
• Text mining and natural language processing
• Causal inference and experimental design
• Graph analytics and network science
• Financial and business analytics
• Business intelligence
• Cybersecurity analytics

According to the following timetable:

For publishing inquiries, please feel free to contact the Editorial Assistant at [email protected]

JCC Editorial Office