In this paper we shall discuss knowledge discovery problems arising in time series. A relation algebra is applied for the purpose of representing both dependencies among single items and dependencies between single items and intervals. This enables one to specify and recognise even complex interrelationships among items in data streams. In addition, intervals like calendar events can be incorporated into the patterns. An example is set for the case of thrown alarms in communication networks.