Methods and Applications of Machine Learning and Big Data Analytics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 10 April 2025 | Viewed by 31
Special Issue Editors
Interests: big data analytics; machine learning; cloud computing; semantic web; distributed systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Machine learning has become a very popular topic in recent years, particularly with the development of deep learning and the emergence of big data everywhere. It is thus important to study machine learning methods for analyzing big data and to develop specific machine learning methods for certain applications of big data.
This Special Issue will focus on new methods and applications of machine learning and big data analytics. Topics of interest include, but are not limited to, the following:
- Novel machine learning methods for big data analytics;
- Applications of machine learning for specific big data analytics, such as life science, health informatics, biomedical data, social network, omics data, etc.;
- Deep learning for big data analytics;
- Graph neural networks for big data analytics;
- Feature selection for big data analytics;
- Unsupervised learning for big data analytics;
- Meta learning for big data analytics;
- Quantum machine learning for big data analytics.
Any related machine learning methods for big data analytics and cross-border applications in science and engineering are also welcome in this Special Issue.
Prof. Dr. Verena Kantere
Prof. Dr. Juanying Xie
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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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
- machine learning
- big data analytics
- graph neural networks
