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Many events in real world applications are long-lasting events which have certain durations. The temporal relationships among those durable events are often complex. Processing such complex events has become increasingly important in applications of wireless networks. An important issue of complex event processing is to extract patterns from event streams to support decision making in real-time. However, network latencies and machine failures in wireless networks may cause events to be out-of-order. In this paper, the authors analyze the preliminaries of event temporal semantics.
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