Logical inventory database integration into network problems frequency detection process

Network elements from telecommunications network have capability to generate unsolicited messages known as notifications. In the case of alarm, notification contains details about network resource malfunction. When general network problem occurs, it is represented as a sequence of alarms coming from one or more different network elements. Typically, alarms are processed by network personal, requiring response action within reasonable time interval. If network operator is overwhelmed with huge number of alarms, time needed for network problem recognition may increase. The worst case scenario - problem will be detected after occupying of call center by customer calls. Hence it is necessary to recognize network problems automatically, correlating incoming alarms. This paper describes potential usage of mathematical Apriori algorithm, with potential improvements proposals that will lead toward efficient correlation rules candidates´ generation.