Data Mining and Sports
Collecting data in sports increased in importance the last few years.
Camera systems can track the position of players, sensors are implemented in clothing and many applications have been designed to monitor, for example, the health of athletes. The Data Mining and Sports group uses artificial intelligence, machine learning, data mining, semantic web technology, image processing and high performance computing to make predictions from this data and to discover new underlying patterns that would otherwise have been unnoticed.
A part of this group is the Sport Data Valley.