We describe a rule mining and root cause analysis solution for alarm event correlation and analyses. In this paper, we propose a scalable streaming alarm management system, referred to as Alarm Collector and Analyzer, that includes complex event processing and root cause analysis. Network operators face the challenge to identify the significance and root causes of these system problems in real time and to keep the number of remedial actions at an optimal level, so that customer satisfaction rates can be guaranteed at a reasonable cost. These events can have different significance levels and domains and also can trigger other ones. Mobile network operators run Operations Support Systems that produce vast amounts of alarm events.
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