Research on evidence theory decision tree adaptive website

To meet the personalized needs of Web user, a new method combine decision tree base on WEB log with multidimensional data and evidence theory is proposed. This paper first generalizes the concept hierarchies in uncertain database, and then extends the decision tree technique to an uncertain environment where the uncertain is represented by evidence theory. This evidence theory concept hierarchy decision tree algorithm is a new classification method adapt to deal with large-scale uncertain data which come from WEB log, show good accurately performance and good interact performance and good adaptively performance.