Symmetry/Asymmetry Studies in Data Mining & Machine Learning
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 503
Special Issue Editors
Interests: traffic behavior modeling and optimization; intelligent transportation systems
Interests: electric vehicle systems; autonomous driving; transportation behavior modeling; optimization methods
Interests: pedestrian flow modeling and simulation research; pedestrian evacuation dynamics
Special Issue Information
Dear Colleagues,
Symmetry and asymmetry are fundamental properties embedded in data structures, learning mechanisms, and algorithmic frameworks. In data mining and machine learning, identifying and utilizing these properties can significantly enhance model robustness, interpretability, and generalization. This Special Issue focuses on methods addressing symmetry and asymmetry in representation learning, pattern recognition, optimization, and intelligent decision-making. We welcome methodological innovations as well as applications in complex domains such as transportation systems, management science, and systems science, where asymmetries in structure, behavior, or information flow are critical to capturing the complexity of real-world dynamics.
Dr. Jian Zhang
Dr. Tao Wang
Dr. Liang Chen
Dr. Jia He
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
- data mining
- machine learning
- pattern recognition
- representation learning
- transportation
- management science
- systems science
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