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We present SitaVis, a visualization and situational awareness tool for the analysis of the health of a computer network. Network datasets are large and therefore we have developed an interactive framework that enables the dynamic exploration and interactive analysis of the data using aggregation techniques and Microsoft's XNA framework. Machine health data is queried and analysed through visual and...
While there is a lot of research on change detection based on the streaming classification error, finding changes in multidimensional unlabelled streaming data is still a challenge. Here we propose to apply principal component analysis (PCA) to the training data, and mine the stream of selected principal components for change in the distribution. A recently proposed semi-parametric log-likelihood...
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