Application of Machine Learning and Data Mining
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: closed (20 May 2024) | Viewed by 18878
Special Issue Editors
Interests: data mining; machine learning; artificial intelligence; fashion AI
Special Issues, Collections and Topics in MDPI journals
Interests: data mining; machine learning; fashion AI; video link learning and optimization; service computing
Special Issues, Collections and Topics in MDPI journals
Interests: optimization; artificial intelligence; smart grids; smart buildings and construction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent decades have seen a dramatic rise in the application of machine learning and data mining. Recent technologies, e.g., the Internet of things (IoTs), neural networks, deep learning, and smart things, have brought new developments in machine learning and data mining to areas such as, healthcare, manufacturing, automobiles, and agriculture. One important breakthrough in artificial intelligence techniques is deep learning, which includes a large family of neural computing methods, e.g., convolutional neural networks (CNNs), generative adversarial networks (GANs), and transformers, that employ deep architectures composed of multiple non-linear transformations to model high-level abstractions of raw data. Recent studies have shown that deep neural networks significantly improve the performance of learning tasks such as object detection, image classification, and segmentation. As a consequence, many advanced real-world applications have developed increasingly close relations with machine learning and data mining technologies.
This Special Issue aims to present cutting-edge techniques in the application of machine learning and data mining; this is also the aim of the 2023 International Conference on Neural Computing for Advanced Applications (NCAA 2023), which will be held in Hefei, China. The authors of outstanding papers selected from the NCAA 2022 will be invited to submit their extended technical papers for possible publication in the proposed Special Issue after an ordinary review process.
Prof. Dr. Mingbo Zhao
Prof. Dr. Haijun Zhang
Prof. Dr. Zhou Wu
Guest Editors
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Keywords
- supervised, unsupervised, and self-learning methods
- large-scale data mining
- applicable neural networks and artificial intelligence
- neural network-based industrial applications
- neural model for natural language processing
- deep learning for health informatics and biomedical engineering
- graph convolutional neural networks and their applications
- deep reinforcement learning and its applications
- deep sparse and low-rank representation
- computer vision and pattern recognition techniques
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