Symmetry/Asymmetry 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: 30 June 2026 | Viewed by 151
Special Issue Editors
Interests: 6G wireless communication; MIMO communication; signal procesing
Interests: space–air–ground integrated networks; wireless communications; AI; physical-layer security
Special Issues, Collections and Topics in MDPI journals
Interests: automatic modulation recognition; parameter estimation; anti-jamming technology
Special Issue Information
Dear Colleagues,
Symmetry and asymmetry, as central concepts in understanding the laws of nature, play an increasingly significant role in data mining and machine learning. To better advance research in this area, it is crucial to uncover the unknown symmetry and asymmetry properties inherent in data, models, and other components. Equally important is the development and analysis of techniques that incorporate symmetry and asymmetry principles in data processing and model design. We invite contributions addressing three key aspects: (1) discovery of symmetry/asymmetry patterns, (2) development of symmetry/asymmetry-based methods and models, and (3) comprehensive analysis of symmetry/asymmetry effects in data mining and machine learning systems.
Dr. Yunchao Song
Dr. Zhisheng Yin
Dr. Kuiyu Chen
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
- symmetry/asymmetry theory and analysis
- symmetry/asymmetry property discovery
- symmetry/asymmetry-inspired training
- symmetry/asymmetry-inspired model
- dynamic symmetry-breaking data analysis
- multimodal data/signal fusion
- data/signal classification and recognition
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