Data Mining - A Captured Wired Traffic Approach

Data mining is involved in procedures by which patterns are extracted from data. This process has become increasingly important to map data patterns to useful information that can be used to predict future traffic analyses. Other areas were data mining can be used include: fraud detection, marketing, congestion control, and network expansion consideration. Data mining involves capturing and gathering random data from the flow of information passing through a certain trunk or node and from a statistical point of view, it can only be meaningful if enough samples are gathered. The results achieved from a proper deployment of a data mining method provide valuable insights to how busy a node is, the average oneway and end-to-end delays, and the average size of the packets.. This paper contains the results from capturing live wired traffic and analyzing the statistical values.