Computational Intelligence and Data Mining in Sports 2023
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 June 2023) | Viewed by 360
Special Issue Editors
Interests: computational social science; data mining; sport science
Special Issues, Collections and Topics in MDPI journals
Interests: computational intelligence; data mining; multi-agent systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sport can be viewed from two standpoints: professional and recreational. The first standpoint is connected to the industrial capitalist society, where the only ideal is to win at all costs. Usually, this ideal leads professional athletes to excessive behavior, like dealing with drugs, betting scandals, or gambling. The second standpoint is brighter, because it is devoted to mass sports. Indeed, the biggest problem of modern society is sedentary lifestyle, which is reflected in obesity and loss of fitness. This trend is especially present in youth generations.
Sport has a huge potential to eliminate these negative effects of modern society. Being involved in sport typically also demands sacrifice from potential athletes. This not only concerns the time wasted in training, but it is also connected with the cost of hiring the sports facilities in team sports or sports trainers, particularly in individual sports. However, the last concern can be reduced with the development of modern technologies. Nowadays, mobile wearable devices (e.g., Garmin, Polar) enable information needed to analyze the performance achieved by athletes in training. On the other hand, new algorithms and methods in computational intelligence and data mining allow for an intelligent mode of evaluating the progress of athletes in all phases of sports training.
This Special Issue focuses on computational intelligence and data mining in sports. The aim of this Special Issue is to compile the latest achievements in this area and to open a forum where people from academia and the sport industry can find solutions to the arising problems in sport. Potential topics include, but are not limited to, the following:
- Computational social science;
- Data mining of sport activities;
- Theory of sport training;
- Automatic generation of sport training sessions;
- Injury prevention;
- Food prediction and planning;
- Mobile and pervasive computing;
- Computational intelligence theory and/or applications to sports;
- Visualization of sport activities.
Dr. Iztok Fister Jr.
Dr. Iztok Fister
Guest Editors
Manuscript Submission Information
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Keywords
- computational intelligence in sports
- data mining in sports
- wrist-wearable devices
- visualization
- swarm intelligence and evolutionary algorithms
