Advances in Machine Learning and Data Mining: Emerging Trends and Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 September 2025 | Viewed by 15393
Special Issue Editor
Interests: data mining; social network analysis; multimodel learning; graph data analysis; time serial analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Machine learning (ML) and data mining (DM) have significantly transformed various sectors by providing sophisticated techniques to analyze and extract valuable insights from vast datasets. As these technologies evolve, they offer new opportunities and challenges across diverse applications. The continued advancement in ML and DM is driven by emerging trends, innovative methodologies, and the need to address complex real-world problems. This Special Issue aims to explore these cutting-edge trends and their applications across various domains, reflecting these technologies' rapid progress and interdisciplinary impact.
This Special Issue's scope encompasses foundational advancements and practical applications of machine learning and data mining. We seek contributions highlighting novel approaches, theoretical advancements, and practical implementations. Topics of interest include but are not limited to emerging algorithms and models, applications across domains, interdisciplinary integration, data management and processing, and ethics and fairness.
Dr. Donghai Guan
Guest Editor
Manuscript Submission Information
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Keywords
- machine learning
- data mining
- deep learning
- predictive analytics
- big data
- natural language processing
- cybersecurity
- ethical AI
- interdisciplinary applications
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