Algorithms in Data Classification (3rd Edition)
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Databases and Data Structures".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 199
Special Issue Editor
Interests: optimization; neural networks; genetic algorithms; genetic programming
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
I am pleased to invite submissions to the MDPI journal Algorithms for the forthcoming Special Issue entitled “Algorithms in Data Classification”. With this Special Issue, we aim to showcase recent advancements in the field of data classification and demonstrate their practical applications in solving real-world problems.
We welcome submissions focusing on the various methods employed in classification, including but not limited to Bayes methods, stochastic gradient descent, K-NN, decision trees, support vector machines, and neural networks. Furthermore, we encourage authors to explore the application of data classification in areas such as sentiment analysis, spam classification, document classification, and image classification.
This Special Issue presents a unique opportunity to contribute to the ever-evolving field of data classification and its real-world implications, and your expertise and research can make a constructive contribution to enriching the knowledge base and fostering advancements in this dynamic domain.
We invite you to submit your original research articles, literature reviews, or methodology papers to this Special Issue. We aim to gather a well-rounded collection of high-quality manuscripts that will serve as a valuable resource for both academia and industry. Appropriate topics include but are not limited to the following:
- Binary classification;
- Multi-class classification;
- Multi-label classification;
- Imbalanced classification;
- Feature selection for classification;
- Probabilistic models for classification;
- Big data classification;
- Text classification;
- Multimedia classification;
- Uncertain data classification.
Prof. Dr. Ioannis Tsoulos
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. 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
- binary classification
- multi-label classification
- decision trees
- neural networks
- big data
- Bayes methods
- K-NN methods
- feature selection
- machine learning
- supervised learning
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Related Special Issues
- Algorithms in Data Classification in Algorithms (13 articles)
- Algorithms in Data Classification (2nd Edition) in Algorithms (15 articles)
