An Efficient Clustering Scheme to Exploit Hierarchical Data in Network Traffic analysis ABSTRACT: There is vital interest in the info mining and network management communities about the necessity to improve existing techniques for clustering multi-variate network traffic flow records therefore that we have a tendency to will quickly infer underlying traffic patterns. In this paper we have a tendency to investigate the use of clustering techniques to spot interesting traffic patterns from network traffic information in an efficient manner. We tend to develop a framework to house mixed type attributes as well as numerical, categorical and hierarchical attributes for a one-pass hierarchical clustering algorithm. We tend to demonstrate the improved accuracy and efficiency of our approach compared to previous work on clustering network traffic. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Ranked Reverse Nearest Neighbor Search Probabilistic Group Nearest Neighbor Queries in Uncertain Databases
