Machine Learning and Its Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 5
Special Issue Editors
Interests: panel data econometrics; high-dimensional econometrics; applied microeconomics
Special Issues, Collections and Topics in MDPI journals
Interests: finance; econometrics; development economics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, machine learning (ML) has attracted the interest of many researchers in fields such as economics, finance, accounting, management, and statistics. It uncovers complex patterns in data that traditional models often miss. The purpose of this Special Issue is to integrate the machine learning toolkit into research and policy analysis. Theoretical and applied studies with methodological advances in machine learning can be submitted. We invite authors to submit original research articles and high-quality review articles in areas of interest including, but not limited to, the following: machine learning, big data, artificial intelligence (AI), networks and high-dimensional data, and nontraditional data, such as text.
Dr. Long Liu
Dr. Donald Lien
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
- artificial intelligence (AI)
- networks and high-dimensional data
- nontraditional data, such as text
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