A major problem in detecting events in streams of data is that the data can be imprecise (e.g. RFID data). However, current state-ofthe-art event detection systems such as Cayuga ...
Trend analysis and forecasting applications (e.g., securities trading, stock market, and after-the-fact diagnosis) need event detection along a moving time window. Event-driven app...
Abstract. We extend Angluin’s algorithm for on-line learning of regular languages to the setting of timed systems. We consider systems that can be described by a class of determi...
Abstract Current, data-driven applications have become more dynamic in nature, with the need to respond to events generated from distributed sources or to react to information extr...
Composite (or Complex) event processing (CEP) systems search sequences of incoming events for occurrences of userspecified event patterns. Recently, they have gained more attentio...