Machine Learning Algorithms in Modelling of Networks
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Evolutionary Algorithms and Machine Learning".
Deadline for manuscript submissions: closed (15 June 2023) | Viewed by 244
Special Issue Editors
Interests: machine learning applications; blockchain applications; network and service economics; healthcare management systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Networks form the backbone of many of the familiar and economically vital systems used in our everyday, modern lives, such as electrical grid, computer, telecommunications, and transportation systems. They can effectively model the interconnections and interdependencies between entities in complex systems, whether they are artefacts, such as physical components, or human beings in social networks. Therefore, network-based modeling research can help us to understand how networks behave.
Machine learning is an established research area of artificial intelligence, and its theories and methods have been widely used to solve complex problems in engineering applications and science on the basis of large datasets. At present, network measurements make it possible to obtain large datasets describing the behavior of users and network devices, and provide the data-rich background suitable for a profitable application of machine learning techniques.
This Special Issue is devoted to applications of machine learning in network modeling, including the following fields of applications, without being limited to:
- Communications networks;
- Computer networks;
- Internet of things;
- Social networks;
- Intrusion-detection systems;
- Traffic-anomaly detection;
- Network fault diagnosis;
- Traffic engineering and routing;
- Cyber attacks mitigation;
- Traffic classification;
- Traffic and behavior forecasting.
Prof. Dr. Maurizio Naldi
Dr. Marta Flamini
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
- machine learning
- statistical learning
- computational intelligence
- communications networks
- social networks
- network modeling
