Applications of Deep Learning in Pattern Recognition and Data Mining
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 December 2025 | Viewed by 64
Special Issue Editors
Interests: recommender systems; knowledge graphs; reinforcement learning; automated driving; large language models; computer vision; video understanding
Special Issue Information
Dear Colleagues,
We are excited to announce a call for papers for the Special Issue “Applications of Deep Learning in Pattern Recognition and Data Mining”. Researchers, practitioners, and industry experts are invited to share their recent innovations, breakthroughs, and advancements in applying deep learning to the fields of pattern recognition and data mining. The goal of this Special Issue is to provide a comprehensive resource that highlights the emerging trends, challenges, and state-of-the-art applications of deep learning in these critical areas through high-quality research that will drive further advancements and applications.
Scope and Topics:
Deep learning has become an indispensable tool in pattern recognition and data mining, enabling significant improvements in tasks such as classification, clustering, prediction, etc. As deep learning techniques continue to advance and become more prevalent in critical applications across sectors such as finance, education, culture, healthcare, and industry, the potential for innovation and efficiency has expanded significantly. These applications include enhancing financial forecasting and fraud detection, personalizing learning experiences, preserving and analyzing cultural heritage, improving healthcare diagnostics and treatments, and optimizing industrial processes. The integration of deep learning with pattern recognition and data mining methodologies offers the potential to unlock new insights, streamline operations, and drive progress across these diverse fields. As these technologies evolve, their widespread adoption and responsible deployment will be key to maximizing their impact and ensuring they contribute positively to society.
Dr. Duantengchuan Li
Dr. Jiazhang Wang
Guest Editors
Manuscript Submission Information
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Keywords
- pattern recognition
- computer vision
- data mining
- recommender system
- knowledge graph
- reinforcement learning
- large language model
- medical image processing
- computer-aided diagnosis
- computational photography
- three-dimensional reconstruction
- human–computer interaction
- knowledge tracing
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