Time Series Segmentation for Context Recognition in Mobile Devices
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Clustering intrusion detection alarms to support root cause analysis
ACM Transactions on Information and System Security (TISSEC)
Dynamic syslog mining for network failure monitoring
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
High speed and robust event correlation
IEEE Communications Magazine
Proceedings of the ACM first Ph.D. workshop in CIKM
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In telecommunication networks, alarms are usually useful for identifying faults, and therefore solving them. However, for large systems the number of alarms produced is so large that the current management systems are overloaded. One way of overcoming this problem is to filter and reduce the number of alarms before the faults can be located. In this paper, we describe a new approach for fault recognition and classification in telecommunication networks. We study and evaluate its performance using real-world data collected from 3G telecommunication networks.