Symmetry in Data Analysis and Optimization
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 408
Special Issue Editors
Interests: intelligent optimization theory and application; large-scale coupled data mining
Interests: intelligent optimization theory and application
Interests: image processing; computer vision; data science
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Aim: This Special Issue titled "Symmetry in Data Analysis and Optimization" aims to explore the role of symmetry in various aspects of data analysis and optimization methods. It seeks to gather innovative research that demonstrates how symmetrical properties can improve analytical techniques and optimize processes. The goal is to foster a deeper understanding of symmetry's contributions to data science, aiding in the development of more efficient algorithms and effective methodologies. Contributions may include theoretical advancements, practical applications, and case studies that highlight the significance of symmetry in addressing real-world data challenges.
Scope: The topics of this Special Issue include, but are not limited to, the following:
Mathematical Symmetry: An exploration of mathematical concepts of symmetry and their applications in data analysis and optimization.
Symmetric Data Structures: The development and analysis of data models that inherently possess symmetry, enhancing data representation and interpretation.
Symmetry in Algorithms: Investigating algorithms that leverage symmetric properties to improve efficiency and performance in data processing.
Geometric Symmetry: The application of geometric symmetry principles in data visualization and feature extraction.
Statistical Symmetry: The study of symmetric distributions and their implications for statistical inference and hypothesis testing.
Machine Learning: An examination of symmetric techniques in machine learning models, including regularization methods used to enforce symmetry.
Optimization Techniques: An analysis of optimization problems where symmetry plays a crucial role in simplifying computations or finding solutions.
Symmetry in Neural Networks: Investigating how symmetry can be integrated into neural network architectures for better generalization and robustness.
Dynamic Systems: Applications of symmetry in analyzing dynamic systems and time-series data, focusing on pattern recognition and prediction.
Interdisciplinary Applications: An exploration of how symmetry concepts are applied in various fields such as physics, biology, and sociology for data analysis and optimization purposes.
Dr. Mingcheng Zuo
Dr. Chunliang Zhao
Dr. Sabri My Abdelouahed
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- symmetry
- data analysis
- optimization
- statistical methods
- pattern recognition
- algorithm design
- multi-objective optimization
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