Active Learning Methodology for Expert-Assisted Anomaly Detection in Mobile Communications

Active Learning Methodology for Expert-Assisted Anomaly Detection in Mobile Communications

Due to the great complexity, heterogeneity, and variety of services, anomaly detection is becoming an increasingly important challenge in the operation of new generations of mobile communications. In many cases, the underlying relationships between the multiplicity of parameters and factors that can...

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Bibliographic Details
Main Authors: José Antonio Trujillo, Isabel de-la-Bandera, Jesús Burgueño, David Palacios, Eduardo Baena, Raquel Barco
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
active learning
anomaly detection
5G
machine learning
self-organizing networks
Online Access:https://www.mdpi.com/1424-8220/23/1/126

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https://www.mdpi.com/1424-8220/23/1/126

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