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Decreasing network downtime for wireless telecommunication systems is becoming more and more important. Therefore, degrading system performance needs to be identified long before key performance indicators pick up on it. As a lot of information about what is going on in the telecommunication network can be found in counter readings, exploratory data analysis, such as unsupervised clustering algorithms...
Monitoring complex systems and identifying degrading system components before the system or parts thereof fail, is crucial for many application areas, among them today's and future telecommunication systems. With the increasing complexity of such systems, the need to aid human operators through the use of machine learning tools is growing. In this paper, we present an automated approach for root-cause...
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