Big Data Driven Anomaly Detection for Cellular Networks
Anomaly detection for large scale cellular networks can be used by network operators to optimize network performance and enhance mobile user experience. This paper aims at detecting user anomalies from spatio-temporal cell phone activity data. We design an approach combining time series analysis and...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8993809/ |