Applications Based on Symmetry/Asymmetry in Data Mining
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 1536
Special Issue Editors
Interests: spatio-temporal data mining, geospatial artificial intelligence, and topological data analysis
Interests: neural networks; deep learning; machine learning; computer vision; natural language processing; stochastic optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the burgeoning field of data mining has witnessed remarkable advancements. Symmetry and asymmetry are fundamental concepts influencing various aspects of data mining, including pattern recognition, anomaly detection, and classification. As data mining techniques continue to evolve, understanding the role of symmetry and asymmetry becomes increasingly important for advancing the field.
This Special Issue aims to delve into the role of symmetry and asymmetry within data mining applications across various domains. We welcome submissions that address recent advancements, methodologies, and practical applications leveraging symmetry and asymmetry in data mining processes. Potential topics of interest include but are not limited to novel data mining algorithms incorporating symmetry/asymmetry principles; innovative feature engineering techniques guided by symmetry/asymmetry considerations; cutting-edge data analysis methodologies leveraging symmetry/asymmetry insights; and case studies illustrating the practical implications of symmetry/asymmetry in data mining applications.
Dr. Jiawei Zhu
Prof. Dr. Dongpo Xu
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
- symmetry
- asymmetry
- pattern recognition
- anomaly detection
- classification
- machine learning
- feature engineering
- data analysis
- clustering
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