Predictive Analytics and Data Science, 3rd Edition
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 93
Special Issue Editors
Interests: machine learning; data mining; predictive analytics; artificial intelligence; neural networks; network analysis; data science; healthcare data mining
Special Issues, Collections and Topics in MDPI journals
Interests: soft computing; intelligent systems; optimization; machine learning; data science; artificial intelligence; big data; evolutionary computation; metaheuristics; bio-inspired techniques; neural networks; multi-objectives; signal and image processing; pattern recognition; network science; smart sensors and actuators; software sensors; Industry 4.0
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The development and maintenance of predictive-data-driven models pose several challenges, such as feature selection, model structure optimization, sensitivity analysis, model validation, model maintenance, transfer learning and adaptation, model deployment, and evaluating the benefit of applying the models.
This Special Issue solicits papers covering the development, validation, application, and maintenance of predictive analytics models presenting real-life applications. Potential topics for submission include, but are not limited to, the following:
- Classification-based prediction models;
- Regression-based prediction models;
- Forecasting using deep learning methods and algorithms;
- Managing uncertainty and missing data in forecasting;
- The life cycle of predictive models and maintaining predictive models;
- The development and validation of online predictive models;
- Self-learning predictive models;
- Predictive analytics in Industry 4.0 (application of sensors, historical experience);
- Predictive analysis in healthcare and economy;
- Social media and text-analysis-based predictive models and systems.
Dr. Agnes Vathy-Fogarassy
Prof. Dr. János Abonyi
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. Information 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
- classification
- regression
- deep learning
- uncertainty
- validation and maintenance
- self-learning
- real-life applications
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