Abstract
This chapter introduces technology to detect anomalies caused by technical equipment problems or fraudulent intrusion in telecommunication networks. The anomaly detection technology extracts information from network raw data and utilizes machine learning algorithms to alert network managers when an anomaly occurs.
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Ouyang, Y., Hu, M., Huet, A., Li, Z. (2018). Outlier Identification in Telecom Data. In: Mining Over Air: Wireless Communication Networks Analytics. Springer, Cham. https://doi.org/10.1007/978-3-319-92312-3_7
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DOI: https://doi.org/10.1007/978-3-319-92312-3_7
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