Recent Mathematical Trends in Data Science
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Randomized, Online, and Approximation Algorithms".
Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 702
Special Issue Editors
Interests: approximation theory; theoretical and applied computer science
Interests: mathematical modelling and applications; numerical analysis; approximation Theory; fractional Calculus; image and signal processing (image denoising, image segmentation, feature extraction); pattern recognition; machine learning; nonlinear subdivision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Data science is a fascinating interdisciplinary field whose purpose is the extraction of actionable insights from data in its many forms. Data science employs rich theories and techniques from various scientific disciplines, for example statistics, mathematics, computer science and biological science. It is a field which is evolving so rapidly it is already referred to as a discipline in its own right by many scientific communities. The aim of this Special Issue is to produce high quality research papers which cover several fascinating recent mathematical trends in data science with current and wide interdisciplinary interest with the objective to advance this discipline and find connections between different trends.
We invite authors to submit high quality papers on the following topics for consideration for publication: (1) Learning theory, (2) Computer Vision, (3) Optimization, (4) Computational harmonic analysis, (5) High dimensional data methods, (6) Clustering.
Dr. Steven Damelin
Dr. Stanislav Harizanov
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. Algorithms 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 1600 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
- Computer vision
- Manifold learning
- Optimization
- Computational harmonic analysis
- Clustering
- Invariant theory
- Computational algebra
- Cryoelectron microscopy
- Computational group theory
- Computational approximation theory
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