This document summarizes a proposed heuristic approach for web log mining using Bayesian networks. The approach involves preprocessing raw web log files from a server to identify user sessions. These sessions are then categorized based on the requested resources. A Bayesian network is used to learn the parameters from the categorized web log data in order to better route user requests and improve system performance during high traffic periods.