Prediction of performance degradation in telecommunication networks using joint clustering and association analysis techniques

One of the significant problems that high-tech companies are facing is the management and monitoring of networks in order to provide better and more reliable services for their customers. This paper introduces a new approach for the prediction of network failure and performance degradation using Joint Clustering and Association Analysis approach (JCAA). JCAA differs from existing prediction techniques in terms of exploiting the clustering and association analysis techniques in order to improve the quality of prediction. The role of clustering is to classify the input data into groups of k-means clusters, while the association analysis technique discovers the causal relationships between the groups. The experimental results demonstrate that the proposed system is truly effective in enhancing the quality of prediction.