Abstract: A network monitoring apparatus includes a memory configured to store a performance management data sample of a network; and at least one processor configured to input the performance management data sample and an abnormality probability value to an auto-encoder of an abnormality detection model that is trained based on performance management data of the network, wherein the abnormality probability value is a default value, obtain, from the auto-encoder of the abnormality detection model, a reconstructed performance management data sample and an abnormality score value, and detect an abnormal sample based on the abnormality score value, wherein the auto-encoder is configured to receive the performance management data sample and the abnormality probability value, and output the reconstructed performance management data sample and the abnormality score value.

Abstract: A network monitoring apparatus includes a memory configured to store a performance management data sample of a network; and at least one processor configured to input the performance management data sample and an abnormality probability value to an auto-encoder of an abnormality detection model that is trained based on performance management data of the network, wherein the abnormality probability value is a default value, obtain, from the auto-encoder of the abnormality detection model, a reconstructed performance management data sample and an abnormality score value, and detect an abnormal sample based on the abnormality score value, wherein the auto-encoder is configured to receive the performance management data sample and the abnormality probability value, and output the reconstructed performance management data sample and the abnormality score value.