International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Anomaly detection is an important problem that has been researched within diverse research areas and application domains. Many anomaly detection techniques have been specifically developed for 11certain application domains, while others are more generic. In this paper, the authors used a different Page Rank algorithm at peak in proximity graph collection of data points indicated by vertices, gives results a score quantifying the extent to which each data point is anomalous. In this way to achieve the target, they require forming a density calculation using the training data and it is highly calculative intensive for sets of high-dimensional data.