Computational and Mathematical Methods in Information Science and Engineering, 2nd Edition

Dear Colleagues,

In this booming information age, massive amounts of complicated and diverse data resources are being produced over time. Information science and engineering is one of the most attractive research fields due to the need to collect, store, analyze, and visualize these complicated and diverse data to address the challenges of human beings to date. In this area, computational and mathematical methods provide effective tools to handle data and information for pattern recognition, knowledge discovery and utilization, and decision-making for complex problems.

This Special Issue is a follow-up on the first edition, titled "Computational and Mathematical Methods in Information Science and Engineering”, with focuses on recent advances in computational and mathematical methods in information science and engineering to address problems that occur in practice, including theory and potential applications. Topics include, but are not limited to, the following:

1. Computational intelligence theory and applications;
2. Intelligent modeling, control, and optimization;
3. Complex network modeling;
4. Heterogeneous data mining and fusion;
5. Big data analytics and artificial intelligence;
6. Knowledge discovery, inference, and optimization;
7. Complicated high-dimensional data representation and visualization;
8. Classification and clustering models in applications;
9. Heuristic intelligence optimization methods;
10. Deep learning methods;
11. Applied mathematics in open-source software analysis;
12. Modeling and analysis in E-commerce;
13. Information systems;
14. Intelligent manufacturing and Industry 4.0;
15. Intelligent transportation systems and logistics;
16. Recommendation systems;
17. Knowledge management processes and systems;
18. Intelligent tourism and intelligent education.

Prof. Dr. Wen Zhang
Prof. Dr. Xiaofeng Xu
Prof. Dr. Jun Wu
Prof. Dr. Kaijian He
Guest Editors

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