Human Behavior Analysis with Big Data Mining
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Evolutionary Algorithms and Machine Learning".
Deadline for manuscript submissions: closed (1 July 2023) | Viewed by 473
Special Issue Editors
Interests: online learning; machine learning; big data mining; artificial Intelligence
Interests: machine learning; data mining; pattern recognition; classifier ensemble
Special Issue Information
Dear Colleagues,
Due to the development of the mobile Internet and Internet of Things (IoT), big data mining using artificial intelligence algorithms is becoming increasingly popular. Human behavior analysis in the field of computer vision is one of the most important research paths related to data mining. A growing number of applications can benefit from the results of this research path, such as biometrics-based mobile payment systems, motion-based interactive mobile applications, mobile location-based trajectory prediction, etc. In particular, data mining of video data can analyze human behaviors such as facial analysis, hand movements, and gait analysis so as to identify the individual features via their actions. We can expect an explosion of multimedia big data based on mobile Internet and IoT in the near future, which offers forward-looking opportunities for the development of human behavior analysis applications. However, the emergence of massive multimedia big data also poses more complex issues and challenges for research, such as a larger variety of data (images, videos, sounds, etc.), greater variation in quality (different resolution and noise), and more complex structures (unstructured and semi-structured). The purpose of this Special Issue is to gather original research articles on human behavior analysis using big data mining. We welcome articles particularly focusing on innovative approaches to big data modeling, processing, and data mining. Review articles discussing the current state of the art are also welcome. Topics of interest include but are not limited to:
- Artificial intelligence algorithms and applications in human behavior analysis;
- High-performance data mining for multimedia big data;
- Supervised and unsupervised learning methods for big data;
- Advanced deep learning for facial analysis, hand movements, and gait analysis;
- Machine learning, reinforcement learning, statistical learning, and their applications;
- Human behavior analysis in mobile communication, security, and biometrics;
- Intelligent education based on human behavior analysis, healthcare, and enterprise management;
- Advanced approaches to big data modeling, processing, and data mining;
- Intelligent prediction, assessment, and management of human behavior;
- Application of human behavior analysis in smart tourism.
Dr. Francesco Orabona
Prof. Dr. Michal Wozniak
Prof. Dr. Kai Liu
Guest Editors
Manuscript Submission Information
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Keywords
- human behavior analysis
- big data mining
- advanced deep learning
- multimedia big data
- machine learning
- reinforcement learning
- statistical learning
- intelligent prediction
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