Time Series Data Mining

This section introduces time series data mining tasks in the sport domain. One of the aspects that are described is the discovering of events or detecting anomalies. These event discovery tools can be applied to time series sport data, for example, for recognition of player activities. Recognizing activities such as passing, shooting, or dribbling in soccer may be quite useful to provide insights into the team’s behavior, which could be also helpful to support decision making in training. Both time series data mining and concepts developed in sport science can go hand in hand to design meaningful analysis.