Advanced Neural Network and Machine Learning Algorithms, Models and Architectures in Data Mining
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 58
Special Issue Editors
Interests: spatial data mining; graph neural networks; knowledge graphs; intelligent transportation
Interests: geographical data analysis; crowdsourcing mapping; human mobility pattern; urban functional zone identification and sustainable development
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the popularity of large models, the field of data mining is facing new challenges and opportunities, and new machine learning methods and neural network models are continuously emerging. This Special Issue is titled "Advanced Neural Network and Machine Learning Algorithms, Models and Architectures in Data Mining" and focuses on new machine learning and neural network models in the field of data mining, including graph neural network models, transformers, and large language models. Key topics include machine learning architectures (such as deep neural networks and reinforcement learning), data analysis methods in intelligent systems, and clustering models and prediction models for multimodal data. Contributions should emphasize mathematical innovations, such as new neural network learning models, memory models, and new methods and techniques for data processing, such as images, text, sequence data, spatiotemporal data, etc. This Issue aims to connect emerging data mining methods with the application of data-driven machine learning methods in the real world.
Dr. Jincai Huang
Dr. Jianbo Tang
Guest Editors
Manuscript Submission Information
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Keywords
- data mining
- transformers
- graph neural networks
- data clustering models
- prediction models
- multimodal data analysis
- data-driven machine learning
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