International Journal of Computer Science and Information Technologies
In this paper, the authors analyze web transaction log data that reveal user behavior in the internet world. To achieve this, clustering tool is used for performing two phases. An information gathering is done on web transaction data. An analysis is done on web access log files to analyze the user transaction behavior and user's log-in approach. In this paper, the cluster diagnostics and verification tool is used to discover hidden relationships among the web server data and access patterns.