摘要：Representing knowledge about the user of a web application by decision trees can offer remarkable information regarding a dataset. We have designed and developed an E-Learning platform that has built in the capability of monitoring and storing user traffic. A model of analysis of user traffic by building decision trees from gathered data is proposed. The analysis has two outcomes. Firstly, decision tree structure can give an objective measure of the interestingness and quality of the data. In this analysis we may see whether or not the data is representative or not and whether we may obtain sound knowledge. Secondly, the analysis may reveal the learner’s behaviour in the continuous learning environment. The possible outcomes of this analysis are the learner’s proficiency, accumulated knowledge, or learning curve.
