Application of Machine Learning in Data Science and Computational Intelligence
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 849
Special Issue Editors
Interests: artificial intelligence; big data; data analysis; databases; data mining; data structures; machine learning; privacy; security; trust
Special Issues, Collections and Topics in MDPI journals
Interests: 5G; 6G; artificial intelligence; deep learning; image processing; IoT; machine learning; MIMO; mmWave; signal processing; wireless communications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Data science is a field of study that focuses on the extraction of valuable information from noisy data and incorporates various disciplines, such as data engineering, data preprocessing, visualization, predictive analytics, data mining, machine learning and statistics. In recent years, there has been rapidly growing interest in the mathematical and theoretical aspects of data science. This manifests in deterministic and non-deterministic models (i.e., probabilistic and a family of probabilistic known as statistical) that provide guaranteed performance, robustness, and reusable and interpretable results. The digital transformation of information systems has made feasible the effective use of data science techniques such as artificial intelligence (AI) and machine learning (ML) for various applications. In addition, the application of sensor technology and AI/ML will inevitably lead to a more objective and enhanced performance, lower cost and more effective system management overall. The aim of this Special Issue is to present high-quality innovative ideas and research solutions (for both theoretical and practical challenges) that facilitate data analysis and modelling with the aid of artificial intelligence and machine learning in various domains and applications.
Dr. Elias Dritsas
Dr. Maria Trigka
Guest Editors
Manuscript Submission Information
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Keywords
- data science
- data mining
- artificial intelligence
- machine learning
- statistics
- predictive modelling
- monitoring
- data analytics
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