New Advance of Data Science and Optimization
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D1: Probability and Statistics".
Deadline for manuscript submissions: closed (20 November 2023) | Viewed by 3001
Special Issue Editor
Special Issue Information
Dear Colleagues,
Data science is a data-driven approach that has raised a great deal of attention in a wide range of applications, such as medical, financial, agricultural, and environmental areas. New advances of data science and optimization include statistics, computer science and mathematics. In particularly, the techniques include statistical modelling, machine learning, pattern recognition, optimization, and big data processing.
New advances of data science and optimization play an important role in solving current issues in any field. It provides a way to pre-process data and use the processed data as inputs to build models, and provide outputs where we can discover patterns from the data, and helps us to make decisions and strategies based on the results of the analysis.
The purpose of this Special Issue is to provide a forum for researchers in the field of data science and optimization to share their original ideas and discovering in two perspectives: innovations in algorithms and modelling, and applications that solve current issues through established methodologies. Both perspectives will be considered, but not limited to these.
Dr. Shuang Cang
Guest Editor
Manuscript Submission Information
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Keywords
- big data issue
- machine learning
- multivariate statistics/statistics methods
- optimization algorithm
- forecasting
- impact study
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