Semi-supervised machine learning aided anomaly detection method in cellular networks

Y Lu, J Wang, M Liu, K Zhang, G Gui… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The ever-increasing amount of data in cellular networks poses challenges for network
operators to monitor the quality of experience (QoE). Traditional key quality indicators (KQIs) …
被引用次数：23 相关文章

Semi-supervised Machine Learning Aided Anomaly Detection Method in Cellular Networks

Y Lu, J Wang, M Liu, K Zhang, T Ohtsuki, F Adachi - Authorea Preprints, 2023 - techrxiv.org
The ever-increasing amount of data in cellular networks poses challenges for network
operators to monitor the quality of experience (QoE). Traditional key quality indicators (KQIs) …

Semi-Supervised Machine Learning Aided Anomaly Detection Method in Cellular Networks

Y Lu, J Wang, M Liu, K Zhang, G Gui… - IEEE Transactions …, 2020 - keio.elsevierpure.com
抄録 The ever-increasing amount of data in cellular networks poses challenges for network
operators to monitor the quality of experience (QoE). Traditional key quality indicators (KQIs) …

Semi-Supervised Machine Learning Aided Anomaly Detection Method in Cellular Networks

Y Lu, J Wang, M Liu, K Zhang, G Gui… - IEEE Transactions …, 2020 - tohoku.elsevierpure.com
The ever-increasing amount of data in cellular networks poses challenges for network
operators to monitor the quality of experience (QoE). Traditional key quality indicators (KQIs) …

Semi-supervised Machine Learning Aided Anomaly Detection Method in Cellular Networks

Y Lu, J Wang, M Liu, K Zhang, T Ohtsuki… - Authorea …, 2023 - advance.sagepub.com
The ever-increasing amount of data in cellular networks poses challenges for network
operators to monitor the quality of experience (QoE). Traditional key quality indicators (KQIs) …

Semi-supervised Machine Learning Aided Anomaly Detection Method in Cellular Networks

Y Lu, J Wang, M Liu, K Zhang, T Ohtsuki… - Authorea …, 2023 - essopenarchive.org
The ever-increasing amount of data in cellular networks poses challenges for network
operators to monitor the quality of experience (QoE). Traditional key quality indicators (KQIs) …

Semi-Supervised Machine Learning Aided Anomaly Detection Method in Cellular Networks

Y Lu, J Wang, M Liu, K Zhang, G Gui… - IEEE Transactions …, 2020 - keio.elsevierpure.com
The ever-increasing amount of data in cellular networks poses challenges for network
operators to monitor the quality of experience (QoE). Traditional key quality indicators (KQIs) …