A Scalable Sampling Scheme for Clustering in Network Traffic Analysis
Abdun Naser Mahmood, Christopher A. Leckie, Udaya Parampalli · 2007
Sampling is a popular method for improving the scalability of analyzing massive datasets such as network traffic traces, webclick traffic and other forms of transaction data. However, in some cases, existing simple sampling strategies fail to capture the underlying distribution of the data. In parti