Published Paper Details:

Data mining is the process of extracting knowledge from data. That knowledge is usually related with relationships between variables and/or observations and patterns likes clusters of observations. Discovering hidden patterns from the web logs is an upcoming research area. Predictions need to keep track of history data to analyze the usage behavior of the users. Web usage mining consists of pre-processing, pattern discovery and pattern analysis. Web prediction is a classi?cation problem which attempts to predict the most likely web pages that a user may visit depending on the information of the previously visited web pages. System emphasis is on the prediction of user behavior using web log ?le. This approach requires user session identi?cation, clustering the sessions into similar clusters and developing a model for prediction using the current and earlier accesses. The system uses pre-processing of web log, hierarchical clustering technique and data mining algorithm for prediction.