The present disclosure relates to the technical field of communication network operation and maintenance. Provided are a key-indicator-based
core network anomaly identification method and apparatus, and an electronic device. By taking a
network element type and a
pool as an aggregation unit,
dimensionality reduction is performed on multi-dimensional key indicators of network elements to obtain three-dimensional key indicators for easy
visualization; and key indicators of all network elements in a
network element pool are input on the basis of
pool relationships, such that the capability of horizontal comparison of features across multiple network elements and multiple indicators can be provided, and anomaly analysis is then performed on three-dimensional data by means of a clustering
algorithm, so as to find and obtain outliers representing anomalies, and thus, related information can be extracted from the outliers to generate a three-dimensional clustering view, and results such as an anomalous
network element list, anomaly time, a complete KPI
record and the clustering view are returned. The disclosure can realize quick locating of anomalies of a
core network, and significantly improves the effect of multi-dimensional indicator analysis and the accuracy of
anomaly detection, thereby facilitating early intervention and early
troubleshooting of network problems, and thus ensuring stable and normal network operation.