The Research of E-learning Resources´ Construction based on the Discovery-Driven Exploration of Data Cubes

The construction of e-learning, that user must add new values to the e-learning resources by adding their collective intelligence to the sites they visit. So it is important to concern the influence of the individual. This research introduces data mining of discovery-driven exploration methods for the special visitors in some community were suspected. And the data distribution for the education level of visitors virtually the same, the three residual numbers of Selfexp, Inexp, Pathexp determined by improving, used the values of LOF (p) based on the density outlier detection.