Special Issue "Applied and Methodological Data Science"

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Network Science".

Deadline for manuscript submissions: 31 December 2022 | Viewed by 67

Special Issue Editor

Dr. David Delgado-Gómez
E-Mail Website
Guest Editor
Department of Statistics, Universidad Carlos III of Madrid, 28903 Madrid, Spain
Interests: data science; machine learning; statistical learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

At present, data science is an emerging field that is attracting an enormous amount of interest from both academia and industry. This interdisciplinary field applies the analytical knowledge generated in the areas of statistics, mathematics and machine learning, supported by recent advances in computer science, to an area of interest. In other words, it combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. This combination has succeeded in solving problems in several areas, including computer vision, natural language and medicine. These successes have led to data science being called the sexiest job in the 21st century.

This Special Issue searches for novel theoretical developments, as well as interesting applications of data science. Among the methodological advances are the following:

  • Deep learning (GANs, reinforcement learning, transfer learning… );
  • Kernel methods;
  • Ensemble methods;
  • Tree-based techniques;
  • Discriminants;
  • Gaussian processes;
  • Bayesian methods;
  • Unsupervised techniques.

Interesting applications include, but are not limited to, the following:

  • Natural language processing;
  • Computer vision;
  • Finance;
  • Medicine;
  • Recommender systems;
  • Industry;
  • Sports;
  • Biometry

Dr. David Delgado-Gómez
Guest Editor

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 1800 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 science
  • machine learning
  • statistical learning
  • deep learning
  • kernel methods

Published Papers

This special issue is now open for submission.
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